datashield_functions_metadata.json

[
  {
    "package": "DSFunctionCreator",
    "function_name": "CodeCheck.ArgumentCall",
    "architecture_type": "other",
    "function_type": "other",
    "title": "XXXX",
    "description": "XXXX",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "DSFunctionCreator",
    "function_name": "CodeCheck.ArgumentNull",
    "architecture_type": "other",
    "function_type": "other",
    "title": "XXXX",
    "description": "XXXX",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "DSFunctionCreator",
    "function_name": "CodeCheck.ArgumentOverview",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Retrieving an overview of arguments per function for DS packages",
    "description": "The function checks all DS functions in the R folder and retrieves argument names",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "DSFunctionCreator",
    "function_name": "CodeCheck.Codelines",
    "architecture_type": "other",
    "function_type": "other",
    "title": "XXXX",
    "description": "XXXX",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "DSFunctionCreator",
    "function_name": "CodeCheck.Datasources",
    "architecture_type": "other",
    "function_type": "other",
    "title": "XXXX",
    "description": "XXXX",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "DSFunctionCreator",
    "function_name": "CodeCheck.IfStop",
    "architecture_type": "other",
    "function_type": "other",
    "title": "XXXX",
    "description": "XXXX",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "DSFunctionCreator",
    "function_name": "CodeCheck.Newobj",
    "architecture_type": "other",
    "function_type": "other",
    "title": "XXXX",
    "description": "XXXX",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "DSFunctionCreator",
    "function_name": "createDSfunction",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Template Builder for client-side DataSHIELD functions",
    "description": "The function creates a new basic R file for client-side DataSHIELD functions.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "DSFunctionCreator",
    "function_name": "init.GitHubActions",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Creating initial GitHub Actions folder and file",
    "description": "The function initialises the GitHub Actions folder and a simple rmd-check file",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "DSFunctionCreator",
    "function_name": "init.dsFunctionTest",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Initialising test file for a specific function",
    "description": "This function initialises a test-ds.function.R file in the respective testthat structure",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "DSFunctionCreator",
    "function_name": "init.dsTest",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Initialising testthat Framework for DataSHIELD",
    "description": "The function creates a testthat framework including folder structure, testthat.R file, addition of testthat in the Description file. In the DSLite setup, standard DataSHIELD test datasets will be copied into the test suite folder, and a setup.R file will be constructed for the use of DSLite. This also includes overwriting the testthat.R file. Dependencies will be added to the Description file.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "DSFunctionCreator",
    "function_name": "use_templateDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Template filler for CodeCheck",
    "description": "This function is very similar to the usethis original but changes the pathing options of where template will be save.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "DSFunctionCreator",
    "function_name": "use_template_client_test",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Template filler for CodeCheck",
    "description": "This function is very similar to the usethis original but changes the pathing options of where template will be save.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsAnalysis",
    "function_name": "add_dsPackage",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Function to add dsPackages to the 01_DSLite_Setup.R file ABCDDE",
    "description": "XXX",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsAnalysis",
    "function_name": "initMockData",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Function to get mock data from connected data sources",
    "description": "The function will create a new DataSHIELD analysis project environment",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsAnalysis",
    "function_name": "initProject",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Initiate a new project environment dedicated for DataSHIELD analysis",
    "description": "The function will create a new DataSHIELD analysis project environment",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsAnalysis",
    "function_name": "update_MockData",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Function to update the 01_DSLite_Setup.R file",
    "description": "XXX",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "BooleDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "BooleDS",
    "description": "Converts the individual elements of a vector or other object into Boolean indicators.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "absDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Computes the absolute values of the input variable",
    "description": "This function is similar to R function \\code{abs}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "asCharacterDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Coerces an R object into class character",
    "description": "this function is based on the native R function \\code{as.character}",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "asDataMatrixDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "asDataMatrixDS a serverside assign function called by ds.asDataMatrix",
    "description": "Coerces an R object into a matrix maintaining original class for all columns in data.frames.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "asFactorDS1",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Determines the levels of the input variable in each single study",
    "description": "This function is an aggregate DataSHIELD function that returns the levels of the input variable from each single study to the client-side function.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "asFactorDS2",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Converts a numeric vector into a factor",
    "description": "This function is an assign DataSHIELD function that converts a numeric vector into a factor type that presented as a vector or as a matrix with dummy variables.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "asFactorSimpleDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Converts a numeric vector into a factor",
    "description": "This function is an assign DataSHIELD function that coerces a numeric or character vector into a factor",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "asIntegerDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Coerces an R object into class integer",
    "description": "This function is based on the native R function \\code{as.integer}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "asListDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "asListDS a serverside aggregate function called by ds.asList",
    "description": "Coerces an R object into a list",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "asLogicalDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Coerces an R object into class numeric",
    "description": "this function is based on the native R function \\code{as.numeric}",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "asMatrixDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Coerces an R object into a matrix",
    "description": "this function is based on the native R function \\code{as.matrix}",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "asNumericDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Coerces an R object into class numeric",
    "description": "This function is based on the native R function \\code{as.numeric}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "aucDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "aucDS an aggregate function called by ds.auc",
    "description": "This function calculates the C-statistic or AUC for logistic regression models.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "blackBoxDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Secure ranking of \"V2BR\" (vector to be ranked) across all sources",
    "description": "The first key serverside function that sets up the V2BR for ranking in the client.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "blackBoxRanksDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Secure ranking of \"V2BR\" (vector to be ranked) across all sources",
    "description": "The second key serverside function that prepares the global ranks of the the real data only generated in the first stage of the ranking procedure and encrypts them in preparation for generating global ranks that correspond 1 to 1 with only the real data in V2BR.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "boxPlotGGDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Create the identity stats and necessary data to draw a plot on the client",
    "description": "In order to create a non disclosive box plot, the data that is passed to the client is purely geometrical aspects of the plot, as a ggplot object contains all the data inside, only the graphical parameters are passed. There are three different cases depending if there are grouping variables. The outliers are also removed from the graphical parameters.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "boxPlotGG_data_TreatmentDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Arrange data frame to pass it to the boxplot function",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "boxPlotGG_data_Treatment_numericDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Arrange vector to pass it to the boxplot function",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "bp_standardsDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Calculates Blood pressure z-scores",
    "description": "The function calculates blood pressure z-scores in two steps: Step 1. Calculates z-score of height according to CDC growth chart (Not the WHO growth chart!). Step 2. Calculates z-score of BP according to the fourth report on BP management, USA",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "cDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Concatenates objects into a vector or list",
    "description": "This function is similar to the R base function 'c'.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "cbindDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "cbindDS called by ds.cbind",
    "description": "serverside assign function that takes a sequence of vector, matrix or data-frame arguments and combines them by column to produce a data-frame.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "changeRefGroupDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Changes a reference level of a factor",
    "description": "This function is similar to R function \\code{relevel},",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "checkNegValueDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Checks if a numeric variable has negative values",
    "description": "this function is only called by the client function \\code{ds.glm}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "checkPermissivePrivacyControlLevel",
    "architecture_type": "other",
    "function_type": "other",
    "title": "checkPermissivePrivacyControlLevel",
    "description": "This server-side function check that the server is running in \"permissive\" privacy control level.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "classDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Returns the class of an object",
    "description": "This function is similar to R function \\code{class}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "colnamesDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Returns the column names of a data frame or matrix",
    "description": "This function is similar to R function \\code{colnames}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "completeCasesDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "completeCasesDS: an assign function called by ds.completeCases",
    "description": "Identifies and strips out all rows of a data.frame, matrix or vector that contain NAs.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "corDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Computes the sum of each variable and the sum of products for each pair of variables",
    "description": "This function computes the sum of each vector of variable and the sum of the products of each two variables (i.e. the scalar product of each two vectors).",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "corTestDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Tests for correlation between paired samples",
    "description": "This function is similar to R function \\code{cor.test}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "covDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Computes the sum of each variable and the sum of products for each pair of variables",
    "description": "This function computes the sum of each vector of variable and the sum of the products of each two variables (i.e. the scalar product of each two vectors).",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "dataFrameDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "dataFrameDS called by ds.dataFrame",
    "description": "The serverside function that creates a data frame from its elemental components. That is: pre-existing data frames; single variables; and/or matrices",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "dataFrameFillDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "dataFrameFillDS",
    "description": "An assign function called by the clientside ds.dataFrameFill function.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "dataFrameSortDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Sorting and reordering data frames, vectors or matrices",
    "description": "Sorts a data frame using a specified alphanumeric or numeric sort key",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "dataFrameSubsetDS1",
    "architecture_type": "other",
    "function_type": "other",
    "title": "dataFrameSubsetDS1 an aggregate function called by ds.dataFrameSubset",
    "description": "First serverside function for subsetting a data frame by row or by column.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "dataFrameSubsetDS2",
    "architecture_type": "other",
    "function_type": "other",
    "title": "dataFrameSubsetDS2 an assign function called by ds.dataFrameSubset",
    "description": "Second serverside function for subsetting a data frame by row or by column.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "densityGridDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Generates a density grid with or without a priori defined limits",
    "description": "Generates a density grid that can then be used for heatmap or contour plots.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "dimDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Returns the dimension of a data frame or matrix",
    "description": "This function is similar to R function \\code{dim}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "dmtC2SDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Copy a clientside data.frame, matrix or tibble (DMT) to the serverside.",
    "description": "Creates a data.frame, matrix or tibble on the serverside that is equivalent to that same data.frame, matrix or tibble (DMT) on the clientside.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "elsplineDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Basis for a piecewise linear spline with meaningful coefficients",
    "description": "This function is based on the native R function \\code{elspline} from the \\code{lspline} package. This function computes the basis of piecewise-linear spline such that, depending on the argument marginal, the coefficients can be interpreted as (1) slopes of consecutive spline segments, or (2) slope change at consecutive knots.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "extractQuantilesDS1",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Secure ranking of \"V2BR\" (vector to be ranked) across all sources and use of these ranks to estimate global quantiles across all studies",
    "description": "identify the global values of V2BR (i.e. the values across all studies) that relate to a set of quantiles to be evaluated.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "extractQuantilesDS2",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Secure ranking of \"V2BR\" (vector to be ranked) across all sources and use of these ranks to estimate global quantiles across all studies",
    "description": "identify the global values of V2BR (i.e. the values across all studies) that relate to a set of quantiles to be evaluated.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "gamlssDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "gamlssDS an aggregate function called by ds.gamlss",
    "description": "This function calls the gamlssDS that is a wrapper function from the gamlss R package. The function returns an object of class \"gamlss\", which is a generalized additive model for location, scale and shape (GAMLSS). The function also saves the residuals as an object on the server-side with a name specified by the newobj argument. In addition, if the argument centiles is set to TRUE, the function calls the centiles function from the gamlss package and returns the sample percentages below each centile curve.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "getWGSRDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Computes the WHO Growth Reference z-scores of anthropometric data",
    "description": "Calculate WHO Growth Reference z-score for a given anthropometric measurement This function is similar to R function \\code{getWGSR} from the \\code{zscorer} package.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "glmDS1",
    "architecture_type": "other",
    "function_type": "other",
    "title": "glmDS1 called by ds.glm",
    "description": "This is the first server-side aggregate function called by ds.glm",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "glmDS2",
    "architecture_type": "other",
    "function_type": "other",
    "title": "glmDS2 called by ds.glm",
    "description": "This is the second server-side aggregate function called by ds.glm.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "glmPredictDS.ag",
    "architecture_type": "other",
    "function_type": "other",
    "title": "predict regression responses from a glm object",
    "description": "identify and return key components/summaries of a serverside glm_predict object that can safely be returned to the clientside without disclosure risk",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "glmPredictDS.as",
    "architecture_type": "other",
    "function_type": "other",
    "title": "predict regression responses from a glm object",
    "description": "create a predict_glm object on the serverside by applying the equivalent of predict.glm() in native R to a glm object on the serverside. Identify and return components of the predict_glm object that can safely be sent to the clientside without a risk of disclosure",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "glmSLMADS.assign",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Fit a Generalized Linear Model (GLM) with pooling via Study Level Meta-Analysis (SLMA)",
    "description": "Fits a generalized linear model (GLM) on data from single or multiple sources with pooled co-analysis across studies being based on SLMA (Study Level Meta Analysis).",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "glmSLMADS1",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Fit a Generalized Linear Model (GLM) with pooling via Study Level Meta-Analysis (SLMA)",
    "description": "Fits a generalized linear model (GLM) on data from single or multiple sources with pooled co-analysis across studies being based on SLMA (Study Level Meta Analysis).",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "glmSLMADS2",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Fit a Generalized Linear Model (GLM) with pooling via Study Level Meta-Analysis (SLMA)",
    "description": "Fits a generalized linear model (GLM) on data from single or multiple sources with pooled co-analysis across studies being based on SLMA (Study Level Meta Analysis).",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "glmSummaryDS.ag",
    "architecture_type": "other",
    "function_type": "other",
    "title": "summarize a glm object on the serverside",
    "description": "returns the non-disclosive elements to the clientside of a glm object and the corresponding object holding the output of summary(glm object) on the serverside.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "glmSummaryDS.as",
    "architecture_type": "other",
    "function_type": "other",
    "title": "summarize a glm object on the serverside",
    "description": "summarize a glm object on the serverside to create a summary_glm object. Also identify and return components of both the glm object and the summary_glm object that can safely be sent to the clientside without a risk of disclosure",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "glmerSLMADS.assign",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Fitting generalized linear mixed effect models - serverside function",
    "description": "glmerSLMADS.assign is the same as glmerSLMADS2 which fits a generalized linear mixed effects model (glme) per study and saves the outcomes in each study",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "glmerSLMADS2",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Fitting generalized linear mixed effect models - serverside function",
    "description": "glmerSLMADS2 fits a generalized linear mixed effects model (glme) - e.g. a logistic or Poisson regression model including both fixed and random effects - on data from one or multiple sources with pooling via SLMA (study level meta-analysis)",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "heatmapPlotDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Calculates the coordinates of the centroid of each n nearest neighbours",
    "description": "This function calculates the coordinates of the centroids for each n nearest neighbours.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "hetcorDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Heterogeneous Correlation Matrix",
    "description": "This function is based on the hetcor function from the R package \\code{polycor}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "histogramDS1",
    "architecture_type": "other",
    "function_type": "other",
    "title": "returns the minimum and the maximum of the input numeric vector",
    "description": "this function returns the minimum and maximum of the input numeric vector which depends on the argument \\code{method.indicator}. If the method.indicator is set to 1 (i.e. the 'smallCellsRule' is used) the computed minimum and maximum values are multiplied by a very small random number. If the method.indicator is set to 2 (i.e. the 'deterministic' method is used) the function returns the minimum and maximum values of the vector with the scaled centroids. If the method.indicator is set to 3 (i.e. the 'probabilistic' method is used) the function returns the minimum and maximum values of the generated 'noisy' vector.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "histogramDS2",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Computes a histogram of the input variable without plotting.",
    "description": "This function produces the information required to plot a histogram. This is done without allowing for bins (cells) with number of counts less than the pre-specified disclosure control set for the minimum cell size of a table. If a bin has less counts than this threshold then their counts and its density are replaced by a 0 value.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "igb_standardsDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Converts birth measurements to intergrowth z-scores/centiles",
    "description": "Converts birth measurements to INTERGROWTH z-scores/centiles (generic)",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "isNaDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Checks if a vector is empty",
    "description": "this function is similar to R function \\code{is.na} but instead of a vector of booleans it returns just one boolean to tell if all the element are missing values.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "isValidDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Checks if an input is valid",
    "description": "Tells if an object on the server side is valid.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "kurtosisDS1",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Calculates the kurtosis of a numeric variable",
    "description": "This function calculates the kurtosis of a numeric variable for each study separately.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "kurtosisDS2",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Calculates the kurtosis of a numeric variable",
    "description": "This function calculates summary statistics that are returned to the client-side and used for the estimation of the combined kurtosis of a numeric variable across all studies.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "lengthDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Returns the length of a vector or list",
    "description": "This function is similar to R function \\code{length}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "levelsDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Returns the levels of a factor vector",
    "description": "This function is similar to R function \\code{levels}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "lexisDS1",
    "architecture_type": "other",
    "function_type": "other",
    "title": "lexisDS1",
    "description": "The first server-side function called by ds.lexis.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "lexisDS2",
    "architecture_type": "other",
    "function_type": "other",
    "title": "lexisDS2",
    "description": "The second serverside function called by ds.lexis.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "lexisDS3",
    "architecture_type": "other",
    "function_type": "other",
    "title": "lexisDS3",
    "description": "The third serverside function called by ds.lexis.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "listDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Coerce objects into a list",
    "description": "this function is similar to R function 'list'",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "listDisclosureSettingsDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "listDisclosureSettingsDS",
    "description": "This serverside function is an aggregate function that is called by the ds.listDisclosureSettings",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "lmerSLMADS.assign",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Fitting linear mixed effect models - serverside function",
    "description": "lmerSLMADS.assign is the same as lmerSLMADS2 which fits a linear mixed effects model (lme) per study and saves the outcomes in each study",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "lmerSLMADS2",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Fitting linear mixed effect models - serverside function",
    "description": "lmerSLMADS2 is a serverside function which fits a linear mixed effects model (lme) - i.e. can include both fixed and random effects - on data from one or multiple sources with pooling via SLMA (study level meta-analysis)",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "lsDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "lists all objects on a serverside environment",
    "description": "creates a list of the names of all of the objects in a specified serverside environment",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "lsplineDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Basis for a piecewise linear spline with meaningful coefficients",
    "description": "This function is based on the native R function \\code{lspline} from the \\code{lspline} package. This function computes the basis of piecewise-linear spline such that, depending on the argument marginal, the coefficients can be interpreted as (1) slopes of consecutive spline segments, or (2) slope change at consecutive knots.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "matrixDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "matrixDS assign function called by ds.matrix",
    "description": "Creates a matrix A on the serverside",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "matrixDetDS1",
    "architecture_type": "other",
    "function_type": "other",
    "title": "matrixDetDS aggregate function called by ds.matrixDet.report",
    "description": "Calculates the determinant of a square matrix A and returns the output to the clientside",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "matrixDetDS2",
    "architecture_type": "other",
    "function_type": "other",
    "title": "matrixDetDS assign function called by ds.matrixDet",
    "description": "Calculates the determinant of a square matrix A and writes the output to the serverside",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "matrixDiagDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "matrixDiagDS assign function called by ds.matrixDiag",
    "description": "Extracts the diagonal vector from a square matrix A or creates a diagonal matrix A based on a vector or a scalar value and writes the output to the serverside",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "matrixDimnamesDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "matrixDimnamesDS assign function called by ds.matrixDimnames",
    "description": "Adds dimnames (row names, column names or both) to a matrix on the serverside.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "matrixInvertDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "matrixInvertDS serverside assign function called by ds.matrixInvert",
    "description": "Inverts a square matrix A and writes the output to the serverside",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "matrixMultDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "matrixMultDS serverside assign function called by ds.matrixMult",
    "description": "Calculates the matrix product of two matrices and writes output to serverside",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "matrixTransposeDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "matrixTransposeDS serverside assign function called by ds.matrixTranspose",
    "description": "Transposes a matrix A and writes the output to the serverside",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "mdPatternDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Missing data pattern with disclosure control",
    "description": "This function is a serverside aggregate function that computes the missing data pattern using mice::md.pattern and applies disclosure control to prevent revealing small cell counts.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "meanDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Computes statistical mean of a vector",
    "description": "Calculates the mean value.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "meanSdGpDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "MeanSdGpDS",
    "description": "Server-side function called by ds.meanSdGp",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "mergeDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "mergeDS (assign function) called by ds.merge",
    "description": "merges (links) two data.frames together based on common values in defined vectors in each data.frame",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "messageDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "messageDS",
    "description": "This function allows for error messages arising from the running of a server-side assign function to be returned to the client-side",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "metadataDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Returns the metadata, if any, about the specified variable",
    "description": "This function returns metadata, if any, about specified variable.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "miceDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Aggregate function called by ds.mice",
    "description": "This function is a wrapper function of the mice from the mice R package. The function creates multiple imputations (replacement values) for multivariate missing data. The method is based on Fully Conditional Specification, where each incomplete variable is imputed by a separate model. The MICE algorithm can impute mixes of continuous, binary, unordered categorical and ordered categorical data. In addition, MICE can impute continuous two-level data, and maintain consistency between imputations by means of passive imputation.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "minMaxRandDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Secure ranking of \"V2BR\" (vector to be ranked) across all sources",
    "description": "Creates a minimum value that is more negative, and less positive than any real value in V2BR and a maximum value that is more positive and less negative than any value of V2BR.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "namesDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Return the names of a list object",
    "description": "Returns the names of a designated server-side list",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "nsDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Generate a Basis Matrix for Natural Cubic Splines",
    "description": "This function is based on the native R function \\code{ns} from the \\code{splines} package. This function generate the B-spline basis matrix for a natural cubic spline.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "numNaDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Counts the number of missing values",
    "description": "this function just counts the number of missing entries in a vector.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "qlsplineDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Basis for a piecewise linear spline with meaningful coefficients",
    "description": "This function is based on the native R function \\code{qlspline} from the \\code{lspline} package. This function computes the basis of piecewise-linear spline such that, depending on the argument marginal, the coefficients can be interpreted as (1) slopes of consecutive spline segments, or (2) slope change at consecutive knots.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "quantileMeanDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Generates quantiles and mean information without maximum and minimum",
    "description": "the probabilities 5%, 10%, 25%, 50%, 75%, 90%, 95% and the mean are used to compute the corresponding quantiles.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "rBinomDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "rBinomDS serverside assign function",
    "description": "primary serverside assign function called by ds.rBinom",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "rNormDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "rNormDS serverside assign function",
    "description": "primary serverside assign function called by ds.rNorm",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "rPoisDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "rPoisDS serverside assign function",
    "description": "primary serverside assign function called by ds.rPois",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "rUnifDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "rUnifDS serverside assign function",
    "description": "primary serverside assign function called by ds.rUnif",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "rangeDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "returns the minimum and maximum of a numeric vector",
    "description": "this function is similar to R function \\code{range} but instead to not return the real minimum and maximum, the computed values are multiplied by a very small random number.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "ranksSecureDS1",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Secure ranking of \"V2BR\" (vector to be ranked) across all sources",
    "description": "takes key non-disclosive components of the serverside data frame blackbox.output.df over to the clientside to enable global ranking.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "ranksSecureDS2",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Secure ranking of \"V2BR\" (vector to be ranked) across all sources",
    "description": "Checks that the data frame produced in creating the initial global ranks (ranks based on real and pseudo-data after the running of blackBoxDS)has the correct dimensions and order as the serverside data frames to which it will now be appended. If either the number of rows or the order of the rows are inconsistent with the pre-existing data frames on the serverside an error message is returned and the processing stops. Then strips out the pseudo-data leaving solely the global ranks based just on the real data",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "ranksSecureDS3",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Secure ranking of \"V2BR\" (vector to be ranked) across all sources",
    "description": "takes key non-disclosive components of the serverside data frame blackbox.ranks.df over to the clientside to enable global re-ranking of the global ranks just applying to the real data (not the pseudo-data).",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "ranksSecureDS4",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Secure ranking of \"V2BR\" (vector to be ranked) across all sources",
    "description": "Creates a data frame \"sR8.df\" by cbinding the data frame \"blackBox.ranks.df\" with the global ranks and global quantiles vectors in \"global.ranks.quantiles.df\". Performs QA on this matrix and orders the sR8.df data frame according to the argument <ranks.sort.by> in ds.ranksSecure",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "ranksSecureDS5",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Secure ranking of \"V2BR\" (vector to be ranked) across all sources",
    "description": "Summarises the serverside data frame written by ranksSecureDS4 which is identified by the name given by the argument (<output.ranks.df>) of the ds.ranksSecure function to produce a new output data frame containing only 5 key variables.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "rbindDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "rbindDS called by ds.rbind",
    "description": "serverside assign function that takes a sequence of vector, matrix or data-frame arguments and combines them by row to produce a matrix.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "reShapeDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "reShapeDS (assign function) called by ds.reShape",
    "description": "Reshapes a data frame containing longitudinal or otherwise grouped data from 'wide' to 'long' format or vice-versa",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "recodeLevelsDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Recodes the levels of a categorical variables",
    "description": "The functions uses the input factor and generates a new factor with new levels.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "recodeValuesDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "recodeValuesDS an assign function called by ds.recodeValues",
    "description": "This function recodes specified values of elements in a vector into a matched set of alternative specified values.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "repDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "repDS called by ds.rep",
    "description": "An assign function which creates a repetitive sequence by repeating an identified scalar, or specified elements of a vector or list. This is analogous to the \\code{rep} function in native R. The sequence is written as a new object to the serverside",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "replaceNaDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Replaces the missing values in a vector",
    "description": "This function identifies missing values and replaces them by a value or values specified by the analyst.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "rmDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "rmDS an aggregate function called by ds.rm",
    "description": "deletes an R object on the serverside",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "rowColCalcDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Computes sums and means of rows or columns of numeric arrays",
    "description": "The function is similar to R base functions 'rowSums', 'colSums', 'rowMeans' and 'colMeans'.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "sampleDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "random sampling and permuting of vectors, dataframes and matrices",
    "description": "draws a pseudorandom sample from a vector, dataframe or matrix on the serverside or - as a special case - randomly permutes a vector, dataframe or matrix.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "scatterPlotDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Calculates the coordinates of the data to be plot",
    "description": "This function uses two disclosure control methods to generate non-disclosive coordinates that are returned to the client that generates the non-disclosive scatter plots.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "seqDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "seqDS a serverside assign function called by ds.seq",
    "description": "assign function seqDS called by ds.seq",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "setFilterDS",
    "architecture_type": "server (no export)",
    "function_type": "other",
    "title": "Sets the privacy level",
    "description": "This is an internal function that set the number of observation that are allowed in any table or vector. The function gets the value from the data repository and if no value was set it uses the default value 5.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "setSeedDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "setSeedDs called by ds.setSeed, ds.rNorm, ds.rUnif, ds.rPois and ds.rBinom",
    "description": "An aggregate serverside function that primes the pseudorandom number generator in a data source",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "skewnessDS1",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Calculates the skewness of a numeric variable",
    "description": "This function calculates the skewness of a numeric variable for each study separately.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "skewnessDS2",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Calculates the skewness of a numeric variable",
    "description": "This function calculates summary statistics that are returned to the client-side and used for the estimation of the combined skewness of a numeric variable across all studies.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "sqrtDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Computes the square root values of the input variable",
    "description": "This function is similar to R function \\code{sqrt}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "standardiseDfDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "subsetByClassDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Breaks down a dataframe or a factor into its sub-classes",
    "description": "The function takes a categorical vector or dataframe as input and generates subset(s) vectors or dataframes for each category. Subsets are considered invalid if they hold between 1 and 4 observations.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "subsetDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Generates a valid subset of a table or a vector",
    "description": "The function uses the R classical subsetting with squared brackets '[]' and allows also to subset using a logical operator and a threshold. The object to subset from must be a vector (factor, numeric or character) or a table (data.frame or matrix).",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "table1DDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Creates 1-dimensional contingency tables",
    "description": "This function generates a 1-dimensional table where potentially disclosive cells. (based on the set threshold) are replaced by a missing value ('NA').",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "table2DDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "table2DDS (aggregate function) called by ds.table2D",
    "description": "This function generates a 2-dimensional contingency table where potentially disclosive cells (based on a set threshold) are replaced by a missing value ('NA').",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "tableDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "tableDS is the first of two serverside aggregate functions called by ds.table",
    "description": "creates 1-dimensional, 2-dimensional and 3-dimensional tables using the \\code{table} function in native R.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "tableDS.assign",
    "architecture_type": "other",
    "function_type": "other",
    "title": "tableDS.assign is the serverside assign function called by ds.table",
    "description": "helps creates 1-dimensional, 2-dimensional and 3-dimensional tables using the \\code{table} function in native R.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "tableDS2",
    "architecture_type": "other",
    "function_type": "other",
    "title": "tableDS is the second of two serverside aggregate functions called by ds.table",
    "description": "Helps creates 1-dimensional, 2-dimensional and 3-dimensional tables using the \\code{table} function in native R.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBase",
    "function_name": "tapplyDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "tapplyDS called by ds.tapply",
    "description": "Apply one of a selected range of functions to summarize an outcome variable over one or more indexing factors and write the resultant summary to the clientside",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "tapplyDS.assign",
    "architecture_type": "other",
    "function_type": "other",
    "title": "tapplyDS.assign called by ds.tapply.assign",
    "description": "Apply one of a selected range of functions to summarize an outcome variable over one or more indexing factors and write the resultant summary as a newobj on the serverside",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "testObjExistsDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "testObjExistsDS",
    "description": "The server-side function called by ds.testObjExists",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "unListDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "\\code{unListDS} a serverside assign function called by \\code{ds.unList}",
    "description": "this function is based on the native R function \\code{unlist} which coerces an object of list class back to the class it was when it was coerced into a list",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "uniqueDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Applies the \\code{unique} method to a server-side variable.",
    "description": "This function is similar to R function \\code{unique}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "varDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Computes the variance of vector",
    "description": "Calculates the variance.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBase",
    "function_name": "vectorDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Creates a vector on the server-side.",
    "description": "This function is similar to R function \\code{c}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.Boole",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Converts a server-side R object into Boolean indicators",
    "description": "It compares R objects using the standard set of Boolean operators (\\code{==, !=, >, >=, <, <=}) to create a vector with Boolean indicators that can be of class logical (\\code{TRUE/FALSE}) or numeric (\\code{1/0}).",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.abs",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Computes the absolute values of a variable",
    "description": "Computes the absolute values for a specified numeric or integer vector. This function is similar to R function \\code{abs}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.asCharacter",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Converts a server-side R object into a character class",
    "description": "Converts the input object into a character class. This function is based on the native R function \\code{as.character}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.asDataMatrix",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Converts a server-side R object into a matrix",
    "description": "Coerces an R object into a matrix maintaining original class for all columns in data frames.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.asFactor",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Converts a server-side numeric vector into a factor",
    "description": "This function assigns a server-side numeric vector into a factor class.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.asFactorSimple",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Converts a numeric vector into a factor",
    "description": "ds.asFactorSimple calls the assign function asFactorSimpleDS and thereby coerces a numeric or character vector into a factor",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.asInteger",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Converts a server-side R object into an integer class",
    "description": "Coerces an R object into an integer class. This function is based on the native R function \\code{as.integer}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.asList",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Converts a server-side R object into a list",
    "description": "Coerces an R object into a list. This function is based on the native R function \\code{as.list}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.asLogical",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Converts a server-side R object into a logical class",
    "description": "Coerces an R object into a logical class. This function is based on the native R function \\code{as.logical}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.asMatrix",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Converts a server-side R object into a matrix",
    "description": "Coerces an R object into a matrix. This converts all columns into character class.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.asNumeric",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Converts a server-side R object into a numeric class",
    "description": "Coerces an R object into a numeric class. This function is based on the native R function \\code{as.numeric}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.assign",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Assigns an R object to a name in the server-side",
    "description": "This function assigns a datashield object to a name, hence creating a new object.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.auc",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Calculates the Area under the curve (AUC)",
    "description": "This function calculates the C-statistic or AUC for logistic regression models.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.boxPlot",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Draw boxplot",
    "description": "Draw boxplot with data on the study servers (data frames or numeric vectors) with the option of grouping using categorical variables on the dataset (only for data frames)",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.boxPlotGG",
    "architecture_type": "client (no export)",
    "function_type": "aggregate",
    "title": "Renders boxplot",
    "description": "Internal function. Renders a ggplot boxplot by retrieving from the server side a list with the identity stats and other parameters to render the plot without passing any data from the original dataset",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.boxPlotGG_data_Treatment",
    "architecture_type": "client (no export)",
    "function_type": "assign",
    "title": "Take a data frame on the server side an arrange it to pass it to the boxplot function",
    "description": "Internal function",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.boxPlotGG_data_Treatment_numeric",
    "architecture_type": "client (no export)",
    "function_type": "assign",
    "title": "Take a vector on the server side an arrange it to pass it to the boxplot function",
    "description": "Internal function",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.boxPlotGG_numeric",
    "architecture_type": "client (no export)",
    "function_type": "other",
    "title": "Draw boxplot with information from a numeric vector",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.boxPlotGG_table",
    "architecture_type": "client (no export)",
    "function_type": "other",
    "title": "Draw boxplot with information from a data frame",
    "description": "Draws a boxplot with the option of adding two grouping variables from data held on a table",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.bp_standards",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Calculates Blood pressure z-scores",
    "description": "The function calculates blood pressure z-scores in two steps: Step 1. Calculates z-score of height according to CDC growth chart (Not the WHO growth chart!). Step 2. Calculates z-score of BP according to the fourth report on BP management, USA",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.c",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Combines values into a vector or list in the server-side",
    "description": "Concatenates objects into one vector.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.cbind",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Combines R objects by columns in the server-side",
    "description": "Takes a sequence of vector, matrix or data-frame arguments and combines them by column to produce a data-frame.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.changeRefGroup",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Changes the reference level of a factor in the server-side",
    "description": "Change the reference level of a factor, by putting the reference group first. This function is similar to R function \\code{relevel}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.class",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Class of the R object in the server-side",
    "description": "Retrieves the class of an R object. This function is similar to the R function \\code{class}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.colnames",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Produces column names of the R object in the server-side",
    "description": "Retrieves column names of an R object on the server-side. This function is similar to R function \\code{colnames}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.completeCases",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Identifies complete cases in server-side R objects",
    "description": "Selects complete cases of a data frame, matrix or vector that contain missing values.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.contourPlot",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Generates a contour plot",
    "description": "It generates a contour plot of the pooled data or one plot for each dataset on the client-side.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.cor",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Calculates the correlation of R objects in the server-side",
    "description": "This function calculates the correlation of two variables or the correlation matrix for the variables of an input data frame.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.corTest",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Tests for correlation between paired samples in the server-side",
    "description": "This is similar to the R stats function \\code{cor.test}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.cov",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Calculates the covariance of R objects in the server-side",
    "description": "This function calculates the covariance of two variables or the variance-covariance matrix for the variables of an input data frame.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.dataFrame",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Generates a data frame object in the server-side",
    "description": "Creates a data frame from its elemental components: pre-existing data frames, single variables or matrices.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.dataFrameFill",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Creates missing values columns in the server-side",
    "description": "Adds extra columns with missing values in a data frame on the server-side.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.dataFrameSort",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Sorts data frames in the server-side",
    "description": "Sorts a data frame using a specified sort key.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.dataFrameSubset",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Sub-sets data frames in the server-side",
    "description": "Subsets a data frame by rows and/or by columns.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.densityGrid",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Generates a density grid in the client-side",
    "description": "This function generates a grid density object which can then be used to produced heatmap or contour plots.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.dim",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Retrieves the dimension of a server-side R object",
    "description": "Gives the dimensions of an R object on the server-side. This function is similar to R function \\code{dim}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.dmtC2S",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Copy a clientside data.frame, matrix or tibble to the serverside",
    "description": "Creates a data.frame, matrix or tibble on the serverside that is equivalent to that same data.frame, matrix or tibble (DMT) on the clientside.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.elspline",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Basis for a piecewise linear spline with meaningful coefficients",
    "description": "This function is based on the native R function \\code{elspline} from the \\code{lspline} package. This function computes the basis of piecewise-linear spline such that, depending on the argument marginal, the coefficients can be interpreted as (1) slopes of consecutive spline segments, or (2) slope change at consecutive knots.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.exists",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Checks if an object is defined on the server-side",
    "description": "Looks if an R object of the given name is defined on the server-side. This function is similar to the R function \\code{exists}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.exp",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Computes the exponentials in the server-side",
    "description": "Computes the exponential values for a specified numeric vector. This function is similar to R function \\code{exp}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.extractQuantiles",
    "architecture_type": "client (no export)",
    "function_type": "aggregate",
    "title": "Secure ranking of a vector across all sources and use of these ranks to estimate global quantiles across all studies",
    "description": "Takes the global ranks and quantiles held in the serverside data data frame that is written by ranksSecureDS4 and named as specified by the argument (<output.ranks.df>) and converts these values into a series of quantile values that identify, for example, which value of V2BR across all of the studies corresponds to the median or to the 95% quantile. There is no indication in which study the V2BR corresponding to a particular quantile falls and, in fact, the relevant value may fall in more than one study and may appear multiple times in any one study. Finally, the output data frame containing this information is written to the clientside and to the serverside at each study separately.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.forestplot",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Forestplot for SLMA models",
    "description": "Draws a forestplot of the coefficients for Study-Level Meta-Analysis performed with DataSHIELD",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.gamlss",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Generalized Additive Models for Location Scale and Shape",
    "description": "This function calls the gamlssDS that is a wrapper function from the gamlss R package. The function returns an object of class \"gamlss\", which is a generalized additive model for location, scale and shape (GAMLSS). The function also saves the residuals as an object on the server-side with a name specified by the newobj argument. In addition, if the argument centiles is set to TRUE, the function calls the centiles function from the gamlss package and returns the sample percentages below each centile curve.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.getWGSR",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Computes the WHO Growth Reference z-scores of anthropometric data",
    "description": "Calculate WHO Growth Reference z-score for a given anthropometric measurement This function is similar to R function \\code{getWGSR} from the \\code{zscorer} package.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.glm",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Fits Generalized Linear Model",
    "description": "Fits a Generalized Linear Model (GLM) on data from single or multiple sources on the server-side.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.glmPredict",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Applies predict.glm() to a serverside glm object",
    "description": "Applies native R's predict.glm() function to a serverside glm object previously created using ds.glmSLMA.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.glmSLMA",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Fit a Generalized Linear Model (GLM) with pooling via Study Level Meta-Analysis (SLMA)",
    "description": "Fits a generalized linear model (GLM) on data from single or multiple sources with pooled co-analysis across studies being based on SLMA (Study Level Meta Analysis).",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.glmSummary",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Summarize a glm object on the serverside",
    "description": "Summarize a glm object on the serverside to create a summary_glm object. Also identify and return components of both the glm object and the summary_glm object that can safely be sent to the clientside without a risk of disclosure",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.glmerSLMA",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Fits Generalized Linear Mixed-Effect Models via Study-Level Meta-Analysis",
    "description": "\\code{ds.glmerSLMA} fits a Generalized Linear Mixed-Effects Model (GLME) on data from one or multiple sources with pooling via SLMA (study-level meta-analysis).",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.heatmapPlot",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Generates a Heat Map plot",
    "description": "Generates a heat map plot of the pooled data or one plot for each dataset.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.hetcor",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Heterogeneous Correlation Matrix",
    "description": "This function is based on the hetcor function from the R package \\code{polycor}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.histogram",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Generates a histogram plot",
    "description": "\\code{ds.histogram} function plots a non-disclosive histogram in the client-side.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.igb_standards",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Converts birth measurements to intergrowth z-scores/centiles",
    "description": "Converts birth measurements to INTERGROWTH z-scores/centiles (generic)",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.isNA",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Checks if a server-side vector is empty",
    "description": "this function is similar to R function \\code{is.na} but instead of a vector of booleans it returns just one boolean to tell if all the elements are missing values.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.isValid",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Checks if a server-side object is valid",
    "description": "Checks if a vector or table structure has a number of observations equal to or greater than the threshold set by DataSHIELD.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.kurtosis",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Calculates the kurtosis of a numeric variable",
    "description": "This function calculates the kurtosis of a numeric variable.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.length",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Gets the length of an object in the server-side",
    "description": "This function gets the length of a vector or list that is stored on the server-side. This function is similar to the R function \\code{length}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.levels",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Produces levels attributes of a server-side factor",
    "description": "This function provides access to the level attribute of a factor variable stored on the server-side. This function is similar to R function \\code{levels}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.lexis",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Represents follow-up in multiple states on multiple time scales",
    "description": "This function takes a data frame containing survival data and expands it by converting records at the level of individual subjects (survival time, censoring status, IDs and other variables) into multiple records over a series of pre-defined time intervals.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.list",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Constructs a list of objects in the server-side",
    "description": "This is similar to the R function \\code{list}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.listClientsideFunctions",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Lists client-side functions",
    "description": "Lists all current client-side functions",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.listDisclosureSettings",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Lists disclosure settings",
    "description": "Lists current values for disclosure control filters in all data repository servers.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.listOpals",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Lists all Opal objects in the analytic environment",
    "description": "ds.listOpals calls the internal DataSHIELD function getOpals() which identifies all Opal objects in the analytic environment.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.listServersideFunctions",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Lists server-side functions",
    "description": "Lists all current server-side functions",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.lmerSLMA",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Fits Linear Mixed-Effect model via Study-Level Meta-Analysis",
    "description": "\\code{ds.lmerSLMA} fits a Linear Mixed-Effects Model (lme) - can include both fixed and random-effects - on data from one or multiple sources with pooling via SLMA (Study-Level Meta-Analysis)",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.log",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Computes logarithms in the server-side",
    "description": "Computes the logarithms for a specified numeric vector. This function is similar to the R \\code{log} function. by default natural logarithms.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.look",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Performs direct call to a server-side aggregate function",
    "description": "The function \\code{ds.look} can be used to make a direct call to a server-side aggregate function more simply than using the \\code{datashield.aggregate} function.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.ls",
    "architecture_type": "client",
    "function_type": "other",
    "title": "lists all objects on a server-side environment",
    "description": "creates a list of the names of all of the objects in a specified serverside environment.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.lspline",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Basis for a piecewise linear spline with meaningful coefficients",
    "description": "This function is based on the native R function \\code{lspline} from the \\code{lspline} package. This function computes the basis of piecewise-linear spline such that, depending on the argument marginal, the coefficients can be interpreted as (1) slopes of consecutive spline segments, or (2) slope change at consecutive knots.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.make",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Calculates a new object in the server-side",
    "description": "This function defines a new object in the server-side via an allowed function or an arithmetic expression. \\code{ds.make} function is equivalent to \\code{ds.assign}, but runs slightly faster.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.matrix",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Creates a matrix on the server-side",
    "description": "Creates a matrix on the server-side with dimensions specified by \\code{nrows.scalar} and \\code{ncols.scalar} arguments and assigns the values of all its elements based on the \\code{mdata} argument.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.matrixDet",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Calculates de determinant of a matrix in the server-side",
    "description": "Calculates the determinant of a square matrix that is written on the server-side. This operation is only possible if the number of columns and rows of the matrix are the same.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.matrixDet.report",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Returns matrix determinant to the client-side",
    "description": "Calculates the determinant of a square matrix and returns the result to the client-side",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.matrixDiag",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Calculates matrix diagonals in the server-side",
    "description": "Extracts the diagonal vector from a square matrix or creates a diagonal matrix based on a vector or a scalar value on the server-side.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.matrixDimnames",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Specifies the dimnames of the server-side matrix",
    "description": "Adds the row names, the column names or both to a matrix on the server-side.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.matrixInvert",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Inverts a server-side square matrix",
    "description": "Inverts a square matrix and writes the output to the server-side",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.matrixMult",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Calculates tow matrix multiplication in the server-side",
    "description": "Calculates the matrix product of two matrices and writes output to the server-side.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.matrixTranspose",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Transposes a server-side matrix",
    "description": "Transposes a matrix and writes the output to the server-side",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.mdPattern",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Display missing data patterns with disclosure control",
    "description": "This function is a client-side wrapper for the server-side mdPatternDS function. It generates a missing data pattern matrix similar to mice::md.pattern but with disclosure control applied to prevent revealing small cell counts.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.mean",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Computes server-side vector statistical mean",
    "description": "This function computes the statistical mean of a given server-side vector.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.meanByClass",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Computes the mean and standard deviation across categories",
    "description": "This function calculates the mean and the standard deviation (SD) of a continuous variable for each class of up to 3 categorical variables.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.meanSdGp",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Computes the mean and standard deviation across groups defined by one factor",
    "description": "This function calculates the mean and SD of a continuous variable for each class of a single factor.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.merge",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Merges two data frames in the server-side",
    "description": "Merges (links) two data frames together based on common values in defined vectors in each data frame.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.message",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Returns server-side messages to the client-side",
    "description": "This function allows for error messages arising from the running of a server-side assign function to be returned to the client-side.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.metadata",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Gets the metadata associated with a variable held on the server",
    "description": "This function gets the metadata of a variable stored on the server.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.mice",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Multivariate Imputation by Chained Equations",
    "description": "This function calls the miceDS that is a wrapper function of the mice from the mice R package. The function creates multiple imputations (replacement values) for multivariate missing data. The method is based on Fully Conditional Specification, where each incomplete variable is imputed by a separate model. The MICE algorithm can impute mixes of continuous, binary, unordered categorical and ordered categorical data. In addition, MICE can impute continuous two-level data, and maintain consistency between imputations by means of passive imputation. It is recommended that the imputation is done in each datasource separately. Otherwise the user should make sure that the input data have the same columns in all datasources and in the same order.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.names",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Return the names of a list object",
    "description": "Returns the names of a designated server-side list",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.ns",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Generate a Basis Matrix for Natural Cubic Splines",
    "description": "This function is based on the native R function \\code{ns} from the \\code{splines} package. This function generate the B-spline basis matrix for a natural cubic spline.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.numNA",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Gets the number of missing values in a server-side vector",
    "description": "This function helps to know the number of missing values in a vector that is stored on the server-side.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.qlspline",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Basis for a piecewise linear spline with meaningful coefficients",
    "description": "This function is based on the native R function \\code{qlspline} from the \\code{lspline} package. This function computes the basis of piecewise-linear spline such that, depending on the argument marginal, the coefficients can be interpreted as (1) slopes of consecutive spline segments, or (2) slope change at consecutive knots.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.quantileMean",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Computes the quantiles of a server-side variable",
    "description": "This function calculates the mean and quantile values of a server-side quantitative variable.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.rBinom",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Generates Binomial distribution in the server-side",
    "description": "Generates random (pseudorandom) non-negative integers from a Binomial distribution. Also, \\code{ds.rBinom} allows creating different vector lengths in each server.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.rNorm",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Generates Normal distribution in the server-side",
    "description": "Generates normally distributed random (pseudorandom) scalar numbers. Besides, \\code{ds.rNorm} allows creating different vector lengths in each server.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.rPois",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Generates Poisson distribution in the server-side",
    "description": "Generates random (pseudorandom) non-negative integers with a Poisson distribution. Besides, \\code{ds.rPois} allows creating different vector lengths in each server.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.rUnif",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Generates Uniform distribution in the server-side",
    "description": "Generates uniformly distributed random (pseudorandom) scalar numbers. Besides, \\code{ds.rUnif} allows creating different vector lengths in each server.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.ranksSecure",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Secure ranking of a vector across all sources",
    "description": "Securely generate the ranks of a numeric vector and estimate true global quantiles across all data sources simultaneously",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.rbind",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Combines R objects by rows in the server-side",
    "description": "It takes a sequence of vector, matrix or data-frame arguments and combines them by rows to produce a matrix.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.reShape",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Reshapes server-side grouped data",
    "description": "Reshapes a data frame containing longitudinal or otherwise grouped data from 'wide' to 'long' format or vice-versa.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.recodeLevels",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Recodes the levels of a server-side factor vector",
    "description": "The function replaces the levels of a factor by the specified new ones.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.recodeValues",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Recodes server-side variable values",
    "description": "This function takes specified values of elements in a vector and converts them to a matched set of alternative specified values.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.rep",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Creates a repetitive sequence in the server-side",
    "description": "Creates a repetitive sequence by repeating the specified scalar number, vector or list in each data source.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.replaceNA",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Replaces the missing values in a server-side vector",
    "description": "This function identifies missing values and replaces them by a value or values specified by the analyst.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.rm",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Deletes server-side R objects",
    "description": "deletes R objects on the server-side",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.rowColCalc",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Computes rows and columns sums and means in the server-side",
    "description": "Computes sums and means of rows or columns of a numeric matrix or data frame on the server-side.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.sample",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Performs random sampling and permuting of vectors, dataframes and matrices",
    "description": "draws a pseudorandom sample from a vector, dataframe or matrix on the serverside or - as a special case - randomly permutes a vector, dataframe or matrix.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.scatterPlot",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Generates non-disclosive scatter plots",
    "description": "This function uses two disclosure control methods to generate non-disclosive scatter plots of two server-side continuous variables.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.seq",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Generates a sequence in the server-side",
    "description": "This function generates a sequence for given parameters on the server-side.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.setDefaultOpals",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Creates a default set of Opal objects called 'default.opals'",
    "description": "creates a default set of Opal objects called 'default.opals",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.setSeed",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Server-side random number generation",
    "description": "Primes the pseudorandom number generator in a data source",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.skewness",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Calculates the skewness of a server-side numeric variable",
    "description": "This function calculates the skewness of a numeric variable that is stored on the server-side (Opal server).",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.sqrt",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Computes the square root values of a variable",
    "description": "Computes the square root values for a specified numeric or integer vector. This function is similar to R function \\code{sqrt}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.standardiseDf",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.subset",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Generates a valid subset of a table or a vector",
    "description": "The function uses the R classical subsetting with squared brackets '[]' and allows also to subset using a logical operator and a threshold. The object to subset from must be a vector (factor, numeric or character) or a table (data.frame or matrix).",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.subsetByClass",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Generates valid subset(s) of a data frame or a factor",
    "description": "The function takes a categorical variable or a data frame as input and generates subset(s) variables or data frames for each category.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.summary",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Generates the summary of a server-side object",
    "description": "Generates the summary of a server-side object.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.table",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Generates 1-, 2-, and 3-dimensional contingency tables with option of assigning to serverside only and producing chi-squared statistics",
    "description": "Creates 1-dimensional, 2-dimensional and 3-dimensional tables using the \\code{table} function in native R.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.table1D",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Generates 1-dimensional contingency tables",
    "description": "The function ds.table1D is a client-side wrapper function. It calls the server-side function table1DDS to generate 1-dimensional tables for all data sources.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.table2D",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Generates 2-dimensional contingency tables",
    "description": "The function ds.table2D is a client-side wrapper function. It calls the server-side function 'table2DDS' that generates a 2-dimensional contingency table for each data source.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.tapply",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Applies a Function Over a Server-Side Ragged Array",
    "description": "Apply one of a selected range of functions to summarize an outcome variable over one or more indexing factors. The resultant summary is written to the client-side.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.tapply.assign",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Applies a Function Over a Ragged Array on the server-side",
    "description": "Applies one of a selected range of functions to summarize an outcome variable over one or more indexing factors and write the resultant summary as an object on the server-side.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.testObjExists",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Checks if an R object exists on the server-side",
    "description": "This function checks that a specified data object exists or has been correctly created on a specified set of data servers.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.unList",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Flattens Server-Side Lists",
    "description": "Coerces an object of list class back to the class it was when it was coerced into a list.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.unique",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Perform 'unique' on a variable on the server-side",
    "description": "Perform 'unique', from the 'base' package on a specified variable on the server-side",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.var",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Computes server-side vector variance",
    "description": "Computes the variance of a given server-side vector.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "ds.vectorCalc",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Performs a mathematical operation on two or more vectors",
    "description": "Carries out a row-wise operation on two or more vector. The function calls no server side function; it uses the R operation symbols built in DataSHIELD.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBaseClient",
    "function_name": "subsetHelper",
    "architecture_type": "other",
    "function_type": "aggregate",
    "title": "Ensures that the requested subset is not larger than the original object",
    "description": "Compares subset and original object sizes and eventually carries out subsetting.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBayesPathAnalysis",
    "function_name": "hessSEM.assignDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Concatenates objects into a vector or list",
    "description": "This function is similar to the R base function 'c'.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBayesPathAnalysis",
    "function_name": "hessSEMDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Concatenates objects into a vector or list",
    "description": "This function is similar to the R base function 'c'.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBayesPathAnalysisClient",
    "function_name": "ds.hessSEM",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Combines values into a vector or list in the server-side",
    "description": "Concatenates objects into one vector.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBayesPathAnalysisClient",
    "function_name": "ds.hessSEM.assign",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Combines values into a vector or list in the server-side",
    "description": "Concatenates objects into one vector.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBinVal",
    "function_name": "brier_score",
    "architecture_type": "other",
    "function_type": "aggregate",
    "title": "Calculate Brier score, called by dsBrierScore",
    "description": "This function calculates the Brier score for a given 0-1-vector and vector of probabilities.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBinVal",
    "function_name": "calibration_curve",
    "architecture_type": "other",
    "function_type": "aggregate",
    "title": "Calculate data for calibration curve, called by dsCalibrationCurve",
    "description": "This function calculates a vector of values for the calibration curve.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBinVal",
    "function_name": "calibration_curve_plot",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Plot calibration curve",
    "description": "This function plots the calibration curve returned by `dsCalibrationCurve()`.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBinVal",
    "function_name": "calibration_curve_print",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Printer for calibration curve objects",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBinVal",
    "function_name": "confusion",
    "architecture_type": "other",
    "function_type": "aggregate",
    "title": "Calculate confusion matrix",
    "description": "This function calculates the confusion matrix.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBinVal",
    "function_name": "decode_binary",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Deserialize object",
    "description": "Decode a given string of a serialized object.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBinVal",
    "function_name": "encode_object",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Serialize R object",
    "description": "This function serializes a given R object and creates a character string containing the binary of the object. This object can be send to the DataSHIELD servers.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBinVal",
    "function_name": "get_scores",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Get a seed depending on an object",
    "description": "This function creates a seed based on the hash of an object.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBinVal",
    "function_name": "helper",
    "architecture_type": "other",
    "function_type": "aggregate",
    "title": "Get the session information of the DataSHIELD server",
    "description": "This method returns `sessionInfo()` from the used DataSHIELD servers. The main purpose is for testing and checking the environment used on the remote servers.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBinVal",
    "function_name": "l2sens",
    "architecture_type": "other",
    "function_type": "aggregate",
    "title": "Calculate the l2 sensitivity",
    "description": "Calculation of the l2 sensitivity using a histogram representetation. Source: https://www.cis.upenn.edu/~aaroth/Papers/privacybook.pdf",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsBinVal",
    "function_name": "predict_model",
    "architecture_type": "other",
    "function_type": "assign",
    "title": "Predict model on server site",
    "description": "This function enables to make predictions on the server for any model. Requirement is that it can be serialized and deserialized without loosing model components. Therefore, use `check_serialization = TRUE`.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBinVal",
    "function_name": "push_object",
    "architecture_type": "other",
    "function_type": "assign",
    "title": "Push object to DataSHIELD server",
    "description": "This function pushes a serialized object and assigns a server variable to it.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBinVal",
    "function_name": "remove_missings",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Remove missing values from data",
    "description": "Remove missing values from data and assign it to new data or old data.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBinVal",
    "function_name": "roc_glm",
    "architecture_type": "other",
    "function_type": "hybrid",
    "title": "Calculate Probit Regression on Server",
    "description": "Distributed computing of the probit regression using DataSHIELD. The method gets the parts required for the fisher scoring in each iteration and aggreagtes it to a global update. Hence, the updating step is done at the analyst's machine while calculation of the required parts are done at the servers.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBinVal",
    "function_name": "roc_glm_ci",
    "architecture_type": "other",
    "function_type": "aggregate",
    "title": "Calculate CI for AUC",
    "description": "This function calculates a CI for the AUC based on the approach proposed by DeLong.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBinVal",
    "function_name": "roc_glm_parts",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Compute Placement Values on Server",
    "description": "This function calculates the placement values required to calculate the ROC-GLM.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBinVal",
    "function_name": "roc_glm_plot",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Visualize ROC-GLM",
    "description": "This function plots the approximted ROC curve after calculating the ROC-GLM using `dsROCGLM`. The function calculates a regular grid from 0 to 1 and calculate the ROC from the binormal form `pnorm(a + b*qnorm(x))` with a and b the parameter from the ROC-GLM.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsBinVal",
    "function_name": "roc_glm_print",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Printer for ROC-GLM",
    "description": "This function provides a printer for the ROC-GLM object returned from `dsROCGLM`.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCCPhos",
    "function_name": "CCP.AugmentDataDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCCPhos",
    "function_name": "CCP.DrawSampleDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCCPhos",
    "function_name": "CCP.GetCohortDescriptionDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCCPhos",
    "function_name": "CCP.MatchDataDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCCPhos",
    "function_name": "ClassifyDiagnosisAssociation",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCCPhos",
    "function_name": "ClassifyDiagnosisRedundancy",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCCPhos",
    "function_name": "CompileClassificationCall",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCCPhos",
    "function_name": "GetOutcomeMeasuresDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCCPhos",
    "function_name": "MapSystemicTherapyRegimen",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCCPhos",
    "function_name": "MapUICCStage",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCCPhos",
    "function_name": "SummarizeEventData",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCCPhosClient",
    "function_name": "CCP.LoadRawDataSet",
    "architecture_type": "other",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCCPhosClient",
    "function_name": "CCP.PreprocessingQuickRun",
    "architecture_type": "other",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCCPhosClient",
    "function_name": "CheckServerRequirements",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCCPhosClient",
    "function_name": "ConnectToCCP",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCCPhosClient",
    "function_name": "ConnectToVirtualCCP",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCCPhosClient",
    "function_name": "ds.CCP.AugmentData",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCCPhosClient",
    "function_name": "ds.CCP.DrawSample",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCCPhosClient",
    "function_name": "ds.CCP.GetCohortDescription",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCCPhosClient",
    "function_name": "ds.GetAugmentationReport",
    "architecture_type": "client (no export)",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCCPhosClient",
    "function_name": "ds.GetRDSValidationReport",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCCPhosClient",
    "function_name": "ds.UnpackAugmentedDataSet",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCCPhosClient",
    "function_name": "ds.UnpackCuratedDataSet",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCCPhosClient",
    "function_name": "dsCCPhosClient-package",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCWB",
    "function_name": "bl",
    "architecture_type": "other",
    "function_type": "other",
    "title": "P-Spline base learner class",
    "description": "This class creates a base learner that can be used for calculating predictions, fitting parameters, etc.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCWB",
    "function_name": "bl-trafos",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Create a B-spline basis representation",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCWB",
    "function_name": "client-funs",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Initialize a client model",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCWB",
    "function_name": "client-model",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Client model",
    "description": "This class creates a CWB model container for the sites. It collects all base learner and also the data (data frame, pseudo residuals, loss function, etc.) per site.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsCWB",
    "function_name": "fe-data",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Get data for a numerical shared effect",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCWB",
    "function_name": "helper",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Remove all rows that contain missing values.",
    "description": "Converts a numerical vector into one string with the values separated by the character specified in `sep` (default = /).",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCWB",
    "function_name": "host-model",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Host model",
    "description": "This class creates a CWB model container for the host. It collects all base learners.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsCWB",
    "function_name": "loss",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Get the task type of a vector",
    "description": "This class defines the loss and the specific functions required for boosting.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsCWB",
    "function_name": "plot-bltraces",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCWB",
    "function_name": "train",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Train a distributed CWB model.",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCalibration",
    "function_name": "brierScore",
    "architecture_type": "other",
    "function_type": "aggregate",
    "title": "Calculate Brier score",
    "description": "This function calculates the Brier score for a given 0-1-vector and vector of probabilities.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCalibration",
    "function_name": "calibrationCurve",
    "architecture_type": "other",
    "function_type": "aggregate",
    "title": "Calculate data for calibration curve",
    "description": "This function calculates a vector of values for the calibration curve.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsClusterAnalysis",
    "function_name": "clusterPlotDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Plots hierarchical cluster",
    "description": "This function is similar to the R function 'fviz_dend' from the factoextra package",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsClusterAnalysis",
    "function_name": "cutreeDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Cuts the tree of a hclust object",
    "description": "This function is similar to the native R function from stats",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsClusterAnalysis",
    "function_name": "distDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Computes the distance matrix of a given data set",
    "description": "This function is similar to the native R function from stats",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsClusterAnalysis",
    "function_name": "hclustDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Conducts hierarchical clustering of a given dissimilarity structure",
    "description": "This function is similar to the native R function 'hclust' from stats",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsClusterAnalysis",
    "function_name": "kmeansDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Conducts k-means clustering of a given data set",
    "description": "This function is similar to the native R function 'kmeans' from stats",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsClusterAnalysis",
    "function_name": "nbclustDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Determines optimal number of clusters for dataset",
    "description": "This function is similar to the R function 'NBClust' from the NBClust package",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsClusterAnalysis",
    "function_name": "varSelLcmDS1",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Needs editing",
    "description": "Needs editing",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsClusterAnalysis",
    "function_name": "varSelLcmDS2",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Needs editing",
    "description": "Needs editing",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsClusterAnalysis",
    "function_name": "varSelLcmDS3",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Needs editing",
    "description": "Needs editing",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsClusterAnalysis",
    "function_name": "varSelLcmDS4",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Needs editing",
    "description": "Needs editing",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsClusterAnalysis",
    "function_name": "varSelLcmSingleDS1",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Needs editing",
    "description": "Needs editing",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsClusterAnalysisClient",
    "function_name": "ds.clusterPlot",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Draws a basic plot for clustering methods",
    "description": "This function produces a plot for hclust clustering data",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsClusterAnalysisClient",
    "function_name": "ds.cutree",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Cuts the tree of a hclust object",
    "description": "This function is similar to the native R function from stats",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsClusterAnalysisClient",
    "function_name": "ds.dist",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Computes the distance matrix of a given data set",
    "description": "This function is similar to the native R function from stats",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsClusterAnalysisClient",
    "function_name": "ds.hclust",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Conducts hierarchical clustering of a given dissimilarity structure",
    "description": "This function is similar to the native R function 'hclust' from stats",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsClusterAnalysisClient",
    "function_name": "ds.kmeans",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Conducts k-means clustering of a given data set",
    "description": "This function is similar to the native R function 'kmeans' from stats",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsClusterAnalysisClient",
    "function_name": "ds.nbclust",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Determines optimal number of clusters for dataset",
    "description": "This function is similar to the R function 'NBClust' from the NBClust package",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsClusterAnalysisClient",
    "function_name": "ds.varSelLcm",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Conducts clustering using the VarSelLCM R function",
    "description": "This function is similar to the native R function 'kmeans' from stats",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsCoda",
    "function_name": "acompDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Creates an Aitchison composition object for compositional data analysis",
    "description": "Creates an Aitchison composition object using the compositions::acomp() function",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsCoda",
    "function_name": "ilrDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Computes isometric log-ratio (ILR) coordinates for compositional data",
    "description": "Creates ILR coordinates using the compositions::ilr() function on the server.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsCoda",
    "function_name": "lrEMDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Creates a log-ratio EM algorithm object for compositional data imputation",
    "description": "Creates a log-ratio EM algorithm object using the zCompositions::lrEM() function",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsCodaClient",
    "function_name": "ds.acomp",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Creates a server-side Aitchison composition object for compositional data analysis",
    "description": "Creates a server-side Aitchison composition object using the compositions::acomp() function",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsCodaClient",
    "function_name": "ds.ilr",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Creates server-side ILR coordinates for compositional data analysis",
    "description": "Creates a server-side object containing isometric log-ratio (ILR) coordinates using the compositions::ilr() function.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCodaClient",
    "function_name": "ds.lrEM",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Creates a server-side log-ratio EM algorithm object for compositional data imputation",
    "description": "Creates a server-side object using the zCompositions::lrEM() function",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsCodaClient",
    "function_name": "ds.meanComp",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Compute mean composition via ILR mean and inverse transform",
    "description": "Convenience wrapper that creates ILR coordinates server-side, computes the mean of each ILR coordinate, and returns the inverse ILR (geometric mean composition) on the client. Same as `compositions::mean()` does.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsCodaClient",
    "function_name": "ilr_basis",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDanger",
    "function_name": "DANGERc2sMATDFDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "DANGER FUNCTION copying clientside matrix to serverside",
    "description": "Creates a matrix A on the serverside from matrix A on the clientside",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDanger",
    "function_name": "DANGERdfEXTRACTDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "DANGER function returning data.frame (df) from processing servers to clientside - *** DEPRECATED DANGERdmtEXTRACTDS ***",
    "description": "DANGERdfEXTRACTDS copies a df from data servers to clientside.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDanger",
    "function_name": "DANGERdmtEXTRACTDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "DANGER function returning data.frame, Matrix or tibble (DMT) from processing servers to clientside",
    "description": "DANGERdmtEXTRACTDS copies a DMT from data servers to clientside.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDanger",
    "function_name": "DANGERlistcodeDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "lists the code for a function",
    "description": "list the code for a named fucntion in a named package",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDanger",
    "function_name": "DANGERpassPARSERDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "determines how a given R object or character string is managed by the DataSHIELD parser",
    "description": "presents an R object or character string to the DataSHIELD R parser and determines whether it is passed by the parser and, if so, what form it takes after it has traversed the parser.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDanger",
    "function_name": "DANGERplotDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "DANGERplotDS",
    "description": "DANGERplotDS",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDanger",
    "function_name": "DANGERprintDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "DANGERprintDS",
    "description": "DANGERprintDS",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDanger",
    "function_name": "DANGERsearchDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "lists all environments on serverside",
    "description": "creates a list of the names of all of the serverside environments",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDanger",
    "function_name": "DANGERseedEXTRACTDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "DANGERseedEXTRACT",
    "description": "DANGERseedEXTRACT",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDanger",
    "function_name": "DANGERvarsEXTRACTDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "DANGERvarsEXTRACT",
    "description": "DANGERvarsEXTRACT",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDangerClient",
    "function_name": "ds.DANGERc2sMATDF",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "DANGER FUNCTION copying clientside matrix to serverside",
    "description": "Creates a matrix A on the serverside from matrix A on the clientside",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDangerClient",
    "function_name": "ds.DANGERdfEXTRACT",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "DANGER function returning data.frame (df) from processing servers to clientside - *** DEPRECATED BY ds.DANGERdmtEXTRACT ***",
    "description": "Copies a df from data servers to clientside.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDangerClient",
    "function_name": "ds.DANGERdmtEXTRACT",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "DANGER function returning data.frame, Matrix or tibble (DMT) from processing servers to clientside",
    "description": "Copies a DMT from data servers to clientside.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDangerClient",
    "function_name": "ds.DANGERlistcode",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "list the code for a function",
    "description": "list the code for a function deployed on the serverside.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDangerClient",
    "function_name": "ds.DANGERpassPARSER",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "determines how a given R object or character string is managed by the DataSHIELD parser",
    "description": "presents an R object or character string to the DataSHIELD R parser and determines whether it is passed by the parser and, if so, what form it takes after it has traversed the parser.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDangerClient",
    "function_name": "ds.DANGERplot",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "DANGER function",
    "description": "DANGER function",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDangerClient",
    "function_name": "ds.DANGERprint",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "DANGER function",
    "description": "DANGER function",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDangerClient",
    "function_name": "ds.DANGERsearch",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "lists all R environments on serverside",
    "description": "creates a list of the names of all of the serverside R environments",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDangerClient",
    "function_name": "ds.DANGERseedEXTRACT",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "ds.DANGERseedEXTRACT",
    "description": "DANGER function",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDangerClient",
    "function_name": "ds.DANGERvarsEXTRACT",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "ds.DANGERvarsEXTRACT",
    "description": "DANGER function",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDashboard",
    "function_name": "descriptivetools",
    "architecture_type": "other",
    "function_type": "hybrid",
    "title": "Returns the metadata for one (!) specified variable",
    "description": "This function returns metadata for a specified variable - without unnecessary checks and outputs (as in the slow ds.metadata() from dsBaseClient). Due to the restrictions in dsBase::metadataDS only the following attributes are returned: 'names', 'spec', 'class', 'label', 'opal.value_type', 'opal.entity_type', 'opal.repeatable', 'opal.index', 'opal.nature' The variable does not need to be specified in each server to obtain a result.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDashboard",
    "function_name": "utils-pipe",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDid",
    "function_name": "AppendInfluenceDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "AppendInfluenceDS",
    "description": "The function appends a column of influence values to a dataframe and returns the new dataframe.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDid",
    "function_name": "addColumnOnesDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "addColumnOnesDS",
    "description": "The function adds a column of ones to a dataframe and returns the new dataframe.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDid",
    "function_name": "clusterInfluenceFunctionDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "clusterInfluenceFunctionDS",
    "description": "The function calculates the mean influence for each cluster in a dataframe and returns the values.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDid",
    "function_name": "computeMatrixCrossproductDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "computeMatrixCrossproductDS",
    "description": "The function computes the cross-product of a matrix and returns the result.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDid",
    "function_name": "computeOddsDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDid",
    "function_name": "createEmptyIdMatrixDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "createEmptyIdMatrixDS",
    "description": "The function creates an empty matrix with unique id values as row names and a specified number of columns.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDid",
    "function_name": "enoughIndividualsDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "enoughIndividualsDS",
    "description": "The function checks if there are enough individuals with a specified value in a specified column of a dataframe.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDid",
    "function_name": "genDfSubsetDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "genDfSubsetDS",
    "description": "The function generates a subset of a dataframe based on a specified variable and value.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDid",
    "function_name": "genPropDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "genPropDS",
    "description": "The function calculates the estimate of a variable based on the given formula, coefficients and object, and returns the numeric value of the variable.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDid",
    "function_name": "generateNotYetTreatedDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "generateNotYetTreatedDS",
    "description": "The function generates a subset of a dataframe based on a specified variable and value, while only including observations that are from the g period or after, or have never been treated.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDid",
    "function_name": "multiplierBootstrapDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "multiplierBootstrapDS",
    "description": "The function performs the multiplier bootstrap on a given matrix and number of iterations, and returns the bootstrapped matrix.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDid",
    "function_name": "multiplyMatrixMatrixDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "multiplyMatrixMatrixDS",
    "description": "The function multiplies two matrices and returns the product matrix. At least one of the matrices must be from the server-side.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDid",
    "function_name": "multiplyMatrixScalarDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "multiplyMatrixScalarDS",
    "description": "The function is used to multiply a matrix and a scalare.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDid",
    "function_name": "recodeDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "recodeDS",
    "description": "The function creates a new object of the given vector and replaces certain entries of this vector",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDid",
    "function_name": "sendToServerDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDidClient",
    "function_name": "ds.addColumnOnes",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "ds.addColumnOnes",
    "description": "The function adds a column of ones to a dataframe on the server side and assigns it to a new object on the server side.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDidClient",
    "function_name": "ds.appendInfluence",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Append Influence to a Dataframe on the server side",
    "description": "Appends influence to a specified column for a given set of ids and periods in a dataframe on the server side",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDidClient",
    "function_name": "ds.clusterInfluenceFunction",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "clusterInfluenceFunction",
    "description": "The function calculates the influence of a cluster of variables on a target variable using an influence matrix on the server side.lows for the option to assign the result to a new object or a specific data source.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDidClient",
    "function_name": "ds.computeMatrixCrossproduct",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "computeMatrixCrossproduct",
    "description": "The function computes the cross product (matrix transpose times matrix) of a matrix x which is stored on the server side and returns it to the client side.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDidClient",
    "function_name": "ds.computeOdds",
    "architecture_type": "client (no export)",
    "function_type": "assign",
    "title": "Compute Odds Using Propensity Scores",
    "description": "This function computes odds using propensity scores for a given dataset and outcome variable using DataSHIELD.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDidClient",
    "function_name": "ds.createEmptyIdMatrix",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "createEmptyIdMatrix",
    "description": "The function creates an empty matrix with unique identifiers from a dataframe and a specified number of columns on the server side.umns for the matrix. The function also allows for the option to assign the result to a new object or a specific data source.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDidClient",
    "function_name": "ds.did",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Average treatment effect of the treated estimation",
    "description": "The function calculates the influence of a cluster of variables on a target variable using an influence matrix on the server side.lows for the option to assign the result to a new object or a specific data source.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDidClient",
    "function_name": "ds.enoughIndividuals",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "enoughIndividuals",
    "description": "The function checks whether there are enough individuals in a dataframe with a specified value in a specified column that is stored on the server side.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDidClient",
    "function_name": "ds.genProp",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "genProp",
    "description": "The function generates propensity scores for a given formula, coefficients, and ds.glm object on the server side.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDidClient",
    "function_name": "ds.generateNotYetTreated",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "generateNotYetTreated",
    "description": "The function generates a dataframe of individuals who have not yet been treated, given a dataframe, a variable name, a time variable and a group variable on the server side.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDidClient",
    "function_name": "ds.multiplierBootstrap",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "multiplierBootstrap",
    "description": "The function performs a multiplier bootstrap on a given matrix on the server side and returns the results to the client side.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDidClient",
    "function_name": "ds.multiplyMatrixMatrix",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Multiply Matrix Matrix",
    "description": "The function is used to multiply two matrices and assign the result to a new object on the server side. One of the matrices can be a client side matrix.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDidClient",
    "function_name": "ds.multiplyMatrixScalar",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Multiply Matrix and Scalar",
    "description": "The function is used to multiply a matrix and a scalar and assign the result to a new object on the server side.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDidClient",
    "function_name": "ds.recode",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "ds.recode",
    "description": "The function creates a new object of the given vector and replaces certain entries of this vector",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDidClient",
    "function_name": "ds.sendToServer",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Send Object to Server",
    "description": "The function is used to send an a single number to the server side.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsDidClient",
    "function_name": "ds.subsetDf",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Subset Dataframe",
    "description": "The function is used to subset a dataframe based on a specified variable and value. The subsetted dataframe is assigned to a new object on the server side.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "NetCDFFileResourceClient",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "NetCDFFileResourceResolver",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "NetCDF_fillvalue_matrixDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Set NAs to matrix fillvalues",
    "description": "Use a fillvalue extracted using `ncatt_get` and place NAs",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "addExposure2ExposomeSetDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Add Phenotype data to ExposomeSet",
    "description": "Add phenotype data to an ExpressionSet",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "addPhenoData2ExposomeSetDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Add Phenotype data to ExposomeSet",
    "description": "Add phenotype data to an ExpressionSet",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "anderson.darling.testDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Anderson-Darling Normality Test",
    "description": "Perform the Anderson-Darling Normality Test on a numeric vector (or column of a data frame)",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "effective.testsDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Obtain the threshold for effective tests of an ExposomeSet",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "exposomeSubsetDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Subset Exposome Set by familie(s)",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "exposome_HCPCDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Hierarchical clustering on principal components",
    "description": "Perform a HCPC on the PCA/FAMD of an ExposomeSet",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "exposome_pcaDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Principal components analysis of an Exposome Set",
    "description": "Performs a non-disclosive PCA given an Exposome Set, the Exposome Set can be subsetted by families to perform the PCA",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "exposome_pca_plotDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Compute plot parameters for ExposomeSet PCA",
    "description": "Computes the parameters and tables needed to be passed to the client so it can render a non-disclosive plot of the PCA of an ExposomeSet",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "exposome_pca_pooledDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Get block SVD",
    "description": "Calculate block SVD decomposition",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "exposome_scale_exposuresDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Scale ExposomeSet",
    "description": "Performs the scaling operation of the exposures centering by mean and dividing by the standard deviation.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "exposureNamesDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Exposure Names",
    "description": "Extract the exposure names from a Expression Set object",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "exposures_pData",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Exposures and phenotyphes data",
    "description": "Extract a table with the exposures and phenotypes data for all the individuals of an Exposome Set",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "extractExposomeSetFromImputedSetDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Extract ExposomeSet from imExposomeSet",
    "description": "Extract one of the imputed sets of an imputed ExposomeSet (imExposomeSet)",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "familyNamesDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Get family names from Exposome Set",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "get_exposure_from_geoDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Associate `NetCDF` data and individual location",
    "description": "Merge the exposure data contained in a `NetCDF` object with the location data of the individuals present on a `clinical` `data.frame`",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "imputationDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Perform a imputation of an Exposome Set",
    "description": "Perform a imputation of an Exposome Set using rexposome base function",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "invExWASDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "loadExposomeDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Create an ExposomeSet from \\code{data.frames}",
    "description": "Takes the three tables of an exposome dataset and coerces them into a Exposome Set object on the study server",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "ncatt_getDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Get attribute from netCDF file",
    "description": "Reads an attribute from a netCDF file.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "ncvar_getDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Read data from netCDF file",
    "description": "Reads data from an existing netCDF file.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "netcdf_varsDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Get variable names of NetCDF object",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "normalityTestDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Normality test of exposures of ExposomeSet",
    "description": "Perform a normality test on all the exposures of an ExposomeSet object",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "phenotypeNamesDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Exposure Phenotype names",
    "description": "Extract the phenotypes names from a Expression Set object",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "plotFamilyDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Draw boxplot of a family of an Exposome Set",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "scaleDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Scale a data frame",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "shapiro.testDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Shapiro-Wilk Normality Test",
    "description": "Perform the Shapiro-Wilk Normality Test on a numeric vector (or column of a data frame)",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "standardizeDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Standardize ExposomeSet",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "tableMissingsDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Get table of missings per variable",
    "description": "Obtain the number (or percentage) of missings of for the exposures or phenotypes of an ExposomeSet object",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "transformDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Apply a transformation to the exposure of an ExposomeSet",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposome",
    "function_name": "utils-pipe",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "corPlot",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Draws correlation plot",
    "description": "Takes the output of the \\code{\\link{ds.exposome_correlation}} function and draws a plot (circos or matrix)",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.NetCDF_fillvalue_matrix",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Set NAs to matrix fillvalues",
    "description": "Use a fillvalue extracted using `ncatt_get` and place NAs",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.addPhenoData2ExposomeSet",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Add Phenotype data to ExpressionSet",
    "description": "Add new phenotype data contained on a data.frame to an ExpressionSet. The ExpressionSet may or may not already have phenotype data. If the data.frame contains a phenotype already present on the ExpressionSet, the server function will throw an exception. The pehnotypes data.frame has to contain an ID column which does not need to contain exactly the same individuals as the ExpressionSet, only the matching individuals will be updated, no new individuals will be introduced or removed from the ExpressionSet",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.anderson.darling.test",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Anderson-Darling Normality Test",
    "description": "Perform the Anderson-Darling Normality Test on a numeric vector (or column of a data frame)",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.boxPlotGG",
    "architecture_type": "client (no export)",
    "function_type": "aggregate",
    "title": "Renders boxplot",
    "description": "Internal function. Renders a ggplot boxplot by retrieving from the server side a list with the identity stats and other parameters to render the plot without passing any data from the original dataset",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.exposomeSubset",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Subset Exposome Set by familie(s)",
    "description": "Subset an Exposome Set on the server side by familie(s), if no \\code{name} argument is provided, the new Exposome Set object will be named \\code{\"set_subsettted\"} where \\code{\"set\"} is the inputted argument",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.exposome_HCPC",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Hierarchical clustering on principal components",
    "description": "Perform a HCPC on the PCA/FAMD of an ExposomeSet",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.exposome_correlation",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Extract correlation matrix from Exposome Set exposures",
    "description": "Extract correlation matrix from Exposome Set exposures, the exposome set can be subsetted by families, as complete exposome sets (exposures) tend to be matrices that could be disclosive when performing a correlation study",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.exposome_pca",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Principal components analysis of an Exposome Set",
    "description": "Performs a non-disclosive PCA given an Exposome Set on the study server, the Exposome Set can be subsetted by families to perform the PCA",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.exposome_pca_plot",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Plot an ExposomeSet PCA",
    "description": "Plots the results of a PCA of an ExposomeSet on the server side.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.exposome_scale_exposures",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Scale ExposomeSet",
    "description": "Scales the exposures of an ExposomeSet object: centering by mean and scaling dividing by the standard deviation.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.exposome_summary",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Generate the summary of a variable of an exposome dataset",
    "description": "Generates the summary of a variable (phenotype or exposure) of a server side 'ExposomeSet' object",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.exposome_variables",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Get names from the exposures or phenotypes of an Exposome Set of the server side",
    "description": "Extract all the different variables of the phenotypes or exposures of an exposome dataset on the server side",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.exposure_histogram",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Draw histogram for Exposome Set exposure",
    "description": "Get a non-disclosive histogram plot for a selected exposure of a server side Exposome Set. The normality results are calculated using a Shapiro-Wilks test for small samples (n < 5000) and with Anderson-Darling test for big samples (n >= 5000).",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.exposures_pData",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Extract exposure or phenotype data and save them to a data frame",
    "description": "Extracts exposures, phenotypes or combined data and saves it to a data frame on the server side, if no \\code{name} argument is provided, the new Exposome Set object will be named \\code{\"set_table\"} where \\code{\"set\"} is the inputted argument",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.extractExposomeSetFromImputedSet",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Extract ExposomeSet from imExposomeSet",
    "description": "Extract one of the imputed sets of an imputed ExposomeSet (imExposomeSet)",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.exwas",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Performs a non-disclosive EXposome-Wide Association Study",
    "description": "Takes as input an Exposome Set object on the study server and performs a ExWAS association study with the provided model.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.familyNames",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Get family names from Exposome Set",
    "description": "Get family names from Exposome Set on the server side",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.get_exposure_from_geo",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Associate `NetCDF` data and individual location",
    "description": "Merge the exposure data contained in a `NetCDF` object with the location data of the individuals present on a `clinical` `data.frame`",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.imputation",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Perform a imputation of an Exposome Set",
    "description": "Perform a imputation of an Exposome Set on the server side using rexposome base function",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.invExWAS",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Performs a non-disclosive Inverse EXposome-Wide Association Study",
    "description": "Takes as input an Exposome Set object on the study server and performs an Inverse ExWAS association study with the provided model.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.loadExposome",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Create an ExposomeSet from \\code{data.frames}",
    "description": "Takes the three tables of an exposome dataset and coerces them into a Exposome Set object on the study server",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.ncatt_get",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Get attribute from netCDF file",
    "description": "Reads an attribute from a netCDF file.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.ncvar_get",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Read data from netCDF file",
    "description": "Reads data from an existing netCDF file.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.netcdf_vars",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Get variable names of NetCDF object",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.normalityTest",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Normality test of exposures of ExposomeSet",
    "description": "Perform a normality test on all the exposures of an ExposomeSet object of the server side",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.phenotypeNames",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Exposure Phenotype names",
    "description": "Extract the phenotypes names from a Expression Set object",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.plotExwas",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Plot ExWAS results",
    "description": "Two different plots for the results of \\code{\\link{ds.exwas}}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.plotFamily",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Draw boxplot of a family of an Exposome Set of the server side",
    "description": "Draw a boxplot for a single family or a mosaic of boxplots for all the families (only numeric families)",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.plotMissings",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Draw plot with percentage of missings",
    "description": "Create a plot with the percentage of missings for the exposures and phenotypes of an ExposomeSet object",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.shapiro.test",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Shapiro-Wilk Normality Test",
    "description": "Perform the Shapiro-Wilk Normality Test on a numeric vector (or column of a data frame)",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.standardize",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Standardize ExposomeSet",
    "description": "Standardize ExposomeSet on the study server",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.tableMissings",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Get table of missings per variable",
    "description": "Obtain the number (or percentage) of missings of for the exposures or phenotypes of an ExposomeSet object",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsExposomeClient",
    "function_name": "ds.transform",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Apply a transformation to the exposure of an ExposomeSet",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFlower",
    "function_name": "app_store",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFlower",
    "function_name": "checkpoint_resources",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFlower",
    "function_name": "descriptor",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsFlower",
    "function_name": "dsi_tunnel",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFlower",
    "function_name": "imaging_metadata",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFlower",
    "function_name": "interface",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsFlower",
    "function_name": "privacy_state",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFlowerClient",
    "function_name": "app_submit",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFlowerClient",
    "function_name": "app_tier2",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFlowerClient",
    "function_name": "app_upload",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFlowerClient",
    "function_name": "association",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsFlowerClient",
    "function_name": "connect",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFlowerClient",
    "function_name": "convenience",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsFlowerClient",
    "function_name": "cross_validate",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFlowerClient",
    "function_name": "describe",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFlowerClient",
    "function_name": "dsi_link",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFlowerClient",
    "function_name": "import_xgboost",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFlowerClient",
    "function_name": "local_hpo",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFlowerClient",
    "function_name": "masks",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFlowerClient",
    "function_name": "metric_registry",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFlowerClient",
    "function_name": "metrics",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsFlowerClient",
    "function_name": "model",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsFlowerClient",
    "function_name": "model_registry",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFlowerClient",
    "function_name": "nodes",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsFlowerClient",
    "function_name": "plot",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsFlowerClient",
    "function_name": "predict",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFlowerClient",
    "function_name": "recipe",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsFlowerClient",
    "function_name": "result",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsFlowerClient",
    "function_name": "run",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsFlowerClient",
    "function_name": "strategy",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsFlowerClient",
    "function_name": "superlink",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsFlowerClient",
    "function_name": "survival",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsFlowerClient",
    "function_name": "task",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsFlowerClient",
    "function_name": "validate",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "Auxiliary",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "CheckMetaData",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "CheckTable",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "CleanTable",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "CompileDictionaries",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "CompileTransFeatureRequirements",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "CompileTransformativeAssignments",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "CreateEventFeatures",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "CurateDataDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "ExtractFromListDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "FilterTableDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "FinalizeDataRemediation",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "FindSubsumptionRedundancies",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "FormatData",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "GetBestStringMatch",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "GetCrossTabDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "GetDataSetCheckDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "GetEcdfDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "GetErrorTraceDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "GetFeatureInfoDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "GetFrequencyTableDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "GetFuzzyStringMatches",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "GetObjectMetaDataDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "GetObjectStatusDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "GetRDSValidationReportDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "GetReportingObjectDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "GetSampleStatisticsDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "GetSystemSpecsDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "GetTTEModelDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "GetTableCheckDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "GetTestDataDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "JoinTablesDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "MakeListDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "MutateTableDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "NormalizeTable",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "PrepareRawDataDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "RecodeData",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "RemediateData",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "SubsumeRecords",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "TrackCounts",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFreda",
    "function_name": "TrackValueCounts",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "Auxiliary",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "ConnectToVirtualNetwork",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "DisplayTimeSeries",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "ExploreFeature",
    "architecture_type": "other",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "ExportPlot",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "GetEligibleValues",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "GetExplorationData",
    "architecture_type": "other",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "GetServerOpalDBInfo",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "GetServerResourcesInfo",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "GetServerWorkspaceInfo",
    "architecture_type": "other",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "MakeBoxPlot",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "MakeColumnPlot",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "MakeCurationReport",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "MakeKaplanMeierPlot",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "ModifyDSConnections",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "RunPerformanceTest",
    "architecture_type": "other",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "ds.CreateSurvObject",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "ds.CurateData",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "ds.ExtractFromList",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "ds.FilterTable",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "ds.GetCrossTab",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "ds.GetCurationReport",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "ds.GetDataSetCheck",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "ds.GetFeatureInfo",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "ds.GetFrequencyTable",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "ds.GetObjectMetaData",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "ds.GetObjectStatus",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "ds.GetReportingObject",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "ds.GetSampleStatistics",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "ds.GetTTEModel",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "ds.GetTableCheck",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "ds.GetTestData",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "ds.JoinTables",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "ds.MakeList",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "ds.MutateTable",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "ds.PrepareRawData",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "ggTheme",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsFredaClient",
    "function_name": "gtTheme",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsGamlss",
    "function_name": "gamlssDS1",
    "architecture_type": "other",
    "function_type": "other",
    "title": "gamlssDS1 called by ds.gamlss",
    "description": "This is the first server-side aggregate function called by \\code{\\link[dsGamlssClient]{ds.gamlss}}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsGamlss",
    "function_name": "gamlssDS2",
    "architecture_type": "other",
    "function_type": "other",
    "title": "gamlssDS2 called by ds.gamlss",
    "description": "This is the second server-side aggregate function called by \\code{\\link[dsGamlssClient]{ds.gamlss}}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsGamlss",
    "function_name": "gamlssDS3",
    "architecture_type": "other",
    "function_type": "other",
    "title": "gamlssDS3 called by ds.gamlss",
    "description": "This is the third server-side aggregate function called by \\code{\\link[dsGamlssClient]{ds.gamlss}}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsGamlss",
    "function_name": "gamlssDS4",
    "architecture_type": "other",
    "function_type": "other",
    "title": "gamlssDS4 called by ds.gamlss",
    "description": "This is the fourth serverside aggregate function called by \\code{\\link[dsGamlssClient]{ds.gamlss}}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsGamlss",
    "function_name": "gamlssDS5",
    "architecture_type": "other",
    "function_type": "other",
    "title": "gamlssDS5 called by ds.gamlss",
    "description": "This is the fifth server-side aggregate function called by \\code{\\link[dsGamlssClient]{ds.gamlss}}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsGamlss",
    "function_name": "gamlssDS6",
    "architecture_type": "other",
    "function_type": "other",
    "title": "gamlssDS6 called by ds.gamlss",
    "description": "This is the sixth server-side aggregate function called by \\code{\\link[dsGamlssClient]{ds.gamlss}}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsGamlssClient",
    "function_name": "ds.gamlss",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Generalized Additive Models for Location Scale and Shape using DataSHIELD",
    "description": "Fits a Generalized Additive Model for Location, Scale and shape (GAMLSS) using DataSHIELD on data from a single source or multiple sources on the server side.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsGamlssClient",
    "function_name": "ds.predict.gamlss",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Derive predictions for \\code{ds.gamlss} objects",
    "description": "This function predicts the specified distribution parameter for a new data set from a \\code{ds.gamlss} object that is output by the \\code{\\link[dsGamlssClient]{ds.gamlss}} function.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsGeo",
    "function_name": "coordinatesDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Wrapper for coordinates() function from sp package",
    "description": "This function is a wrapper for the coordinates() function from the sp package",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsGeospatial",
    "function_name": "Localmoran",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsGeospatial",
    "function_name": "MeanSdGpDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsGeospatial",
    "function_name": "MoransI",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsGeospatial",
    "function_name": "asFactorDS3",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Determines the levels of the input variable in each single study",
    "description": "This function is an aggregate DataSHIELD function that returns the levels of the input variable from each single study to the client-side function.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsGeospatial",
    "function_name": "groupcorDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsGeospatialClient",
    "function_name": "ds.chisqr",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "",
    "description": "Calculates Pearson's chi-squared tests for two categorical variables separately across the levels of a third grouping variable. The analysis can be performed separately for each DataSHIELD datasource or after combining contingency-table counts across datasources. Optionally, when the grouping variable contains 2011 LSOA codes, the chi-squared statistics can be joined to LSOA boundary data and returned as spatial data or plotted as maps.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsGeospatialClient",
    "function_name": "ds.geoheatmapPlot",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Plot a geographic heatmap",
    "description": "Creates a geographic heatmap showing the group-wise mean of a numeric variable across Lower Layer Super Output Areas (LSOAs).",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsGeospatialClient",
    "function_name": "ds.groupcor",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Calculates the correlation of R objects in the server-side",
    "description": "This function calculates the correlation of two variables or the correlation matrix for the variables of an input data frame.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsGeospatialClient",
    "function_name": "ds.lagsarlm",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsGeospatialClient",
    "function_name": "ds.localmoran",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsGeospatialClient",
    "function_name": "ds.moransI",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsGeospatialClient",
    "function_name": "ds.summarystat",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Computes the mean and standard deviation across groups defined by one factor",
    "description": "This function calculates the mean and SD of a continuous variable for each class of a single factor.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHPC",
    "function_name": "api_plugins",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHPC",
    "function_name": "interface",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHPC",
    "function_name": "job",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsHPC",
    "function_name": "pipeline",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHPC",
    "function_name": "plugins",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsHPC",
    "function_name": "runner_registry",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHPC",
    "function_name": "steps",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHPC",
    "function_name": "studio",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsHPC",
    "function_name": "tracking",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsHPC",
    "function_name": "unit_resource",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHPC",
    "function_name": "unit_session",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHPCClient",
    "function_name": "admin",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHPCClient",
    "function_name": "job_id",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHPCClient",
    "function_name": "list",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHPCClient",
    "function_name": "outputs",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHPCClient",
    "function_name": "print",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsHPCClient",
    "function_name": "result",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHPCClient",
    "function_name": "status",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHPCClient",
    "function_name": "studio",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsHPCClient",
    "function_name": "summary",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHPCClient",
    "function_name": "unit",
    "architecture_type": "other",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsHPCClient",
    "function_name": "wait",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsHelper",
    "function_name": "any-data",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "build-models",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "cast-cols",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "`r lifecycle::badge(\"deprecated\")` This function allowed you to change the class of variables within a data frame. It was depricated because you can now use \\code{dsTidyverseClient::ds.mutate()} which is much quicker and has greater flexibility.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "class-discrepancy",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "create-table-one",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "define-cases",
    "architecture_type": "other",
    "function_type": "assign",
    "title": "",
    "description": "`r lifecycle::badge(\"deprecated\")` This function allowed you to describe whether a had non-missing values for a set of variables. It was depricated because you can now use \\code{dsTidyverseClient::ds.filter()} to create a subset of a data frame matching multiple conditions.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "drop-cols",
    "architecture_type": "other",
    "function_type": "hybrid",
    "title": "",
    "description": "`r lifecycle::badge(\"deprecated\")` This function allowed you to subset a data frame by column names. It was deprecated because you can now use \\code{dsTidyverseClient::ds.select()} which is much quicker and has greater flexibility.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "find-vars-index",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "get-anon-plot-data",
    "architecture_type": "other",
    "function_type": "aggregate",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "get-rm-stats",
    "architecture_type": "other",
    "function_type": "aggregate",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "get-stats",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsHelper",
    "function_name": "lm-tab",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsHelper",
    "function_name": "lme-mult-poly",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "local-proxy",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "make-age-polys",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "`r lifecycle::badge(\"superseded\")` When we do trajectory analyses using fractional polynomials we often want to try models with different combinations of age polynomials. This function creates multiple transformations of an age variable to different powers. We recommend moving to \\code{dsTidyverseClient::ds.mutate()} which is quicker, although would require a few more lines of code.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "make-excluded-df",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "`r lifecycle::badge(\"deprecated\")` Often we need to exclude participants in an analysis. This function created a dataframe containing participants in \\code{original_df} but not in \\code{final_df}. It was deprecated because you can now use \\code{dsTidyverseClient::ds.filter}, which is much quicker and more flexible.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "make-iqr",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "make-lmer-form",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsHelper",
    "function_name": "make-outcome",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "`r lifecycle::badge(\"deprecated\")` This was an early version of dh.makeStrata, which has in turn been deprecated in favour of \\code{dsTidyverseClient::ds.arrange() |> dsTidyverseClient::ds.group_by() |> dsTidyverseClient::ds.slice()}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "make-strata",
    "architecture_type": "other",
    "function_type": "hybrid",
    "title": "",
    "description": "`r lifecycle::badge(\"deprecated\")` This function attempted to replicate the process of \\code{dplyr::arrange() |> dplyr::group_by() |> dplyr::sort()}. It was deprecated because the same operation can be done much more quickly and flexibly using \\code{dsTidyverseClient::ds.arrange() |> dsTidyverseClient::ds.group_by() |> dsTidyverseClient::ds.slice()}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "mean-by-age",
    "architecture_type": "other",
    "function_type": "other",
    "title": "dh.meanByAge",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "mean-by-group",
    "architecture_type": "other",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "meta-manual",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "meta-sep-models",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "multGlm",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "pool",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsHelper",
    "function_name": "predict-lmer",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "quartile-split",
    "architecture_type": "other",
    "function_type": "aggregate",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "rename-vars",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "`r lifecycle::badge(\"deprecated\")` This function was an analogue of \\code{dplyr::rename()}. It was deprecated because you can now use \\code{dsTidyverseClient::ds.rename()} which is much quicker and more flexible.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "stablised-weights",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Combine serverside weights objects into one variable.",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "subj-has-data",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "`r lifecycle::badge(\"deprecated\")` This was an early version of \\code{dh.defineCases()} which has in turn been deprecated. Please use \\code{dsTidyverseClient::ds.filter()}",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "tidy-env",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "`r lifecycle::badge(\"deprecated\")` This was a wrapper around ds.rm intended to allow the removal of multiple objects in one call. It was deprecated because we realised that this was already possible with \\code{ds.rm()}",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "trim-pred-data",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsHelper",
    "function_name": "z-score-by-group",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImaging",
    "function_name": "analysis_capabilities",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImaging",
    "function_name": "analysis_envs",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImaging",
    "function_name": "analysis_install_models",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImaging",
    "function_name": "analysis_model_registry",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImaging",
    "function_name": "analysis_orchestrator",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImaging",
    "function_name": "analysis_profiles",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImaging",
    "function_name": "asset_db",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImaging",
    "function_name": "assets_interface",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImaging",
    "function_name": "backend",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImaging",
    "function_name": "contentHashDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImaging",
    "function_name": "descriptor",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsImaging",
    "function_name": "disclosure",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsImaging",
    "function_name": "domain_workflows",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImaging",
    "function_name": "feature_view",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImaging",
    "function_name": "hash_index",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImaging",
    "function_name": "interface",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImaging",
    "function_name": "resolver",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImaging",
    "function_name": "resource_client",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImaging",
    "function_name": "validation",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsImagingClient",
    "function_name": "analysis_admin",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImagingClient",
    "function_name": "analysis_assets",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImagingClient",
    "function_name": "analysis_profiles",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImagingClient",
    "function_name": "analysis_segmenters",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImagingClient",
    "function_name": "analysis_summary",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImagingClient",
    "function_name": "analysis_workflows_clinical",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImagingClient",
    "function_name": "analysis_workflows_collection",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImagingClient",
    "function_name": "analysis_workflows_extract",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImagingClient",
    "function_name": "analysis_workflows_segment",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImagingClient",
    "function_name": "analysis_workflows_segment_and_extract",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImagingClient",
    "function_name": "assets",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImagingClient",
    "function_name": "catalog",
    "architecture_type": "other",
    "function_type": "assign",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImagingClient",
    "function_name": "datasets",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImagingClient",
    "function_name": "init",
    "architecture_type": "other",
    "function_type": "assign",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsImagingClient",
    "function_name": "labels",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImagingClient",
    "function_name": "metadata",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImagingClient",
    "function_name": "validate",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsImagingClient",
    "function_name": "workflow_lifecycle",
    "architecture_type": "other",
    "function_type": "assign",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsIntestinalMicrobiomics",
    "function_name": "microbiomeIFAAPooledDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Computes the association of microbiome data with covariates",
    "description": "This function calls a custom version of the native R function IFAA from the IFAA package.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsIntestinalMicrobiomics",
    "function_name": "microbiomeMZILNPooledDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Computes the multivariate zero-inflated logistic normal model",
    "description": "This function initiates a custom call of the native R function MZILN from the IFAA package.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsIntestinalMicrobiomics",
    "function_name": "summarizedExperimentDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Computes the SummarizedExperiment object",
    "description": "This function calls the native R function from Bioconductor",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsIntestinalMicrobiomicsClient",
    "function_name": "ds.microbiomeIFAA",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Computes the association of microbiome data with covariates",
    "description": "This function is similar to the native R function from the IFAA package",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsIntestinalMicrobiomicsClient",
    "function_name": "ds.microbiomeMZILN",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Computes the regression for microbiome analysis based on multivariate zero-inflated logistic normal model",
    "description": "This function is similar to the native R function from the IFAA package",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsIntestinalMicrobiomicsClient",
    "function_name": "ds.summarizedExperiment",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Computes the SummarizedExperiment object",
    "description": "This function is similar to the native R function from Bioconductor",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsML",
    "function_name": "centerDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Centering of a data frame",
    "description": "Centers each column of a data frame object by substracting the mean of the column",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsML",
    "function_name": "dummiesDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Create dummy variables",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsML",
    "function_name": "dummies_transformationDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Transform table",
    "description": "Divide columns of table by a vector of values, this function is to be used to transform tables that only contain dummies for the FAMD functionality. Other uses may yield to errors as there is no checks for coherence between the table and the vector.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsML",
    "function_name": "dummy_probabilityDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsML",
    "function_name": "kmeans.assign_resultDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Assign values as a column on a data frame",
    "description": "This function is called from the ds.kmeans function when \\code{assign = TRUE}, it could be adapted to other functionalities checking if lengths are equal.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsML",
    "function_name": "kmeansDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Parallel k-means iteration",
    "description": "Performs an iteration of a k-means parallel algorithm (what in a multi-thread machine would be run on each thread). The client acts as the master and the servers as the slaves if thinking like a regular parallel implementation.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsML",
    "function_name": "knnDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "K-Nearest Neighbour Classification",
    "description": "Compute K-Nearest Neighbours of a query vector",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsML",
    "function_name": "prepare_dataset_treeDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsML",
    "function_name": "scaleDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Scaling of a data frame or numeric vector",
    "description": "Scales each column of a data frame object by dividing for the standard deviation of the column",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsML",
    "function_name": "scatterPlotGGDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Calculates the coordinates of the data to be plot",
    "description": "This function uses two disclosure control methods to generate non-disclosive coordinates that are returned to the client that generates the non-disclosive scatter plots.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsML",
    "function_name": "subset_typeDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Subset data frame by class",
    "description": "Create a subset of a data frame with the columns that have a shared class",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsML",
    "function_name": "svdDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Perform block operation SVD",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMLClient",
    "function_name": "ds.FAMD",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Factor Analysis on Mixed Data",
    "description": "Perform FAMD analysis on server data",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMLClient",
    "function_name": "ds.PCA",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Principal component analysis (PCA)",
    "description": "Perform a non-disclosive PCA with the option of centering and scaling (unit variance) the pooled data",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMLClient",
    "function_name": "ds.build_tree",
    "architecture_type": "client",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMLClient",
    "function_name": "ds.center",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Centering of a data frame on the study server",
    "description": "Centers each column of a data frame object by substracting the mean of the column",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMLClient",
    "function_name": "ds.dummies",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Create dummy variables",
    "description": "Create dummy variables for factor columns on server data frame",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMLClient",
    "function_name": "ds.dummy_probability",
    "architecture_type": "client (no export)",
    "function_type": "hybrid",
    "title": "Scale dummy variables",
    "description": "Internal function. Scale using the square root of their probabilitiy.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMLClient",
    "function_name": "ds.find_best_split",
    "architecture_type": "client",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMLClient",
    "function_name": "ds.gini_index",
    "architecture_type": "client",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMLClient",
    "function_name": "ds.kmeans",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "K-Means clustering of distributed table",
    "description": "Performs a k-means clustering on a distributed table using euclidean distance",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMLClient",
    "function_name": "ds.kmeans_plot",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Plot the results of a k-means analysis",
    "description": "Wrapper of a scatter plot function that needs to be passed the results of \\code{ds.kmeans} with \\code{assign = TRUE} to have the results on the server side.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMLClient",
    "function_name": "ds.knn",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "K-Nearest Neighbour Classification",
    "description": "Perform a non-disclosive distributed K-Nearest Neighbour Classification",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMLClient",
    "function_name": "ds.scale",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Scaling of a server side data frame or numeric vector",
    "description": "Scales by dividing each variable by the standard deviation to have unitary variance",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMLClient",
    "function_name": "ds.scatterPlotGG",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Generates non-disclosive scatter plots (with \\code{ggplot2})",
    "description": "This function uses two disclosure control methods to generate non-disclosive scatter plots of two server-side continuous variables, with the option of using a grouping factor variable.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMLClient",
    "function_name": "ds.sd",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Standard Deviation",
    "description": "This function computes the standard deviation of the values of a server numerical vector. The SD can be calculated server-wise or pooled",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMLClient",
    "function_name": "ds.subset_type",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Subset data frame by class",
    "description": "Create a subset of a data frame with the columns that have a shared class",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMLClient",
    "function_name": "ds.svd",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Singular value decomposition (SVD)",
    "description": "Non-disclosive SVD on pooled data",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMLClient",
    "function_name": "leaf",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMLClient",
    "function_name": "prepare_dataset_tree",
    "architecture_type": "other",
    "function_type": "assign",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMLClient",
    "function_name": "questions_update",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLBase",
    "function_name": "LR_funcVal_evalDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Access the function value of logistic loss",
    "description": "Calculate the function value of logistic loss of a given point",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLBase",
    "function_name": "LR_iter_updateDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Access the gradient and function value of logistic loss",
    "description": "Calculate the gradient and function value of logistic loss of a given point",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLBase",
    "function_name": "LR_simulateDifferencesDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Computes the gradient and function value of logistic loss based on the removal of one data point from the original data. Used for sensitivity analyses required for the implementation of differential privacy.",
    "description": "Calculate the gradient and function value of logistic loss of a given point based on the removal of one data point from the original data. Used for sensitivity analyses required for the implementation of differential privacy.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLBase",
    "function_name": "LS_funcVal_evalDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Access the function value of least-square loss",
    "description": "Calculate the function value of least-square loss of a given point",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLBase",
    "function_name": "LS_iter_updateDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Access the gradient and function value of least-square loss",
    "description": "Calculate the gradient and function value of least-square loss of a given point",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLBase",
    "function_name": "LS_simulateDifferencesDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Computes the gradient and function value of least-squares loss based on the removal of one data point from the original data. Used for sensitivity analyses required for the implementation of differential privacy.",
    "description": "Calculate the gradient and function value of least-squares loss of a given point based on the removal of one data point from the original data. Used for sensitivity analyses required for the implementation of differential privacy.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLBase",
    "function_name": "addInterceptDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Set intercept model",
    "description": "The option to turn on or off intercept model.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLBase",
    "function_name": "calcMCRDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Calculate missing classification rate (MCR)",
    "description": "Calculate missing classification rate (MCR)",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLBase",
    "function_name": "calcMSEDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Calculate mean-squared errors (MSE)",
    "description": "Calculate mean-squared errors (MSE)",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLBase",
    "function_name": "getMyServerDataDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Get data from server",
    "description": "Send the data matrix to the valid client",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLBase",
    "function_name": "initMatricesDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Initialize variables with given random seeds",
    "description": "The initialization of server-side variables for method dsMTL_iNMF",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLBase",
    "function_name": "initRanMatsWithSeedsDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Initialize variables with given seeds",
    "description": "The initialization of server-side variables for method dsMTL_iNMF",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLBase",
    "function_name": "setMyServerDataDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Receive Set data matrix on server",
    "description": "Receive the data matrix from the valid client",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLBase",
    "function_name": "subsetSubjestsDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Subset subjects given index",
    "description": "Subset subjects for cross-validation",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLBase",
    "function_name": "updateHDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Collect server-side information for updating H",
    "description": "Estimate the shared component (H) using the local data for method dsMTL_iNMF",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLBase",
    "function_name": "updateOtherMatsDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Update all heterogeneous variables",
    "description": "Update the heterogeneous variables for method dsMTL_iNMF",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLBase",
    "function_name": "xtyDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "matrix multiplication",
    "description": "matrix multiplication x * t(y)",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLBase",
    "function_name": "xtycovDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Estimation of lambda max",
    "description": "Lambda max corresponds to the lambda for which all beta are equal to 0, except for covariate betas, which fully vary",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLClient",
    "function_name": "LaplaceMechanism_DP",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Random laplace generator",
    "description": "Extracted from https://rpubs.com/mengxu/gaussian-and-laplace-noise",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLClient",
    "function_name": "ds.LRBetas",
    "architecture_type": "client (no export)",
    "function_type": "other",
    "title": "Fit a logistic regression model on selected covariates",
    "description": "Fit a linear logistic regression model with only selected adjusting covariates",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLClient",
    "function_name": "ds.Lasso",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Solver of Lasso regression",
    "description": "Solver of Lasso regression",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLClient",
    "function_name": "ds.LassoCov",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Solver of LassoCov",
    "description": "Solver of Lasso regression with controlling covariate effect",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLClient",
    "function_name": "ds.MTL_L21",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Solver of FeMTL with least-square loss for joint feature selection",
    "description": "Solver of FeMTL with least-square loss for joint feature selection",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLClient",
    "function_name": "ds.MTL_Net",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Solver of FeMTL with least-square loss and network incorporation",
    "description": "Solver of FeMTL with least-square loss and network incorporation",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLClient",
    "function_name": "ds.MTL_Trace",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Solver of FeMTL with least-square loss and low-rank structure",
    "description": "Solver of FeMTL with least-square loss and low-rank structure",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLClient",
    "function_name": "ds.MTL_iNMF",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Solver of Federated integrative NMF",
    "description": "Solver of Federated NMF",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLClient",
    "function_name": "ds.calcMCR",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Calculate missing classification rate (MCR)",
    "description": "Calculate missing classification rate (MCR) on the target server",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLClient",
    "function_name": "ds.calcMSE",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Calculate mean-squared error (MSE)",
    "description": "Calculate mean-squared error (MSE) on the target server",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLClient",
    "function_name": "ds.getMyServerData",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Get data from server",
    "description": "Retrieve the data matrix from the server",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLClient",
    "function_name": "ds.lmBetas",
    "architecture_type": "client (no export)",
    "function_type": "other",
    "title": "Fit a linear regression model on selected covariates",
    "description": "Fit a linear regression model with only selected adjusting covariates",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLClient",
    "function_name": "ds.setMyServerData",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Set data matrix on server",
    "description": "set data matrix from the valid client",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMTLClient",
    "function_name": "ds.subsetSubjests",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Subset subjects for cross-validation",
    "description": "Subset subjects for cross-validation",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMediation",
    "function_name": "mediateDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Causal Mediation Analysis",
    "description": "This function is similar to R function \\code{mediate} from the \\code{mediation} package.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMediation",
    "function_name": "mediationTestDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "The Sobel mediation test",
    "description": "This function is similar to the R function \\code{mediation.test} that is included in the \\code{bda} package. The function computes statistics and p-values for three versions of Sobel mediation test: Sobel test, Aroian test and Goodman test.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsMediation",
    "function_name": "multimedDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Estimation and Sensitivity Analysis for Multiple Causal Mechanisms",
    "description": "This function is similar to R function \\code{multimed} from the \\code{mediation} package.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMediation",
    "function_name": "neEffdecompDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Linear hypotheses for natural effect models",
    "description": "This function is similar to R function \\code{neEffdecomp} from the \\code{medflex} package.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMediation",
    "function_name": "neImputeDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Expand the dataset and impute nested counterfactual outcomes",
    "description": "This function is similar to R function \\code{neImpute} from the \\code{mmedflex} package.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMediation",
    "function_name": "neLhtDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Linear hypotheses for natural effect models",
    "description": "This function is similar to R function \\code{neLht} from the \\code{medflex} package.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMediation",
    "function_name": "neModelDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Fit a natural effect model",
    "description": "This function is similar to R function \\code{neModel} from the",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMediation",
    "function_name": "neWeightDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Expand the dataset and calculate ratio-of-mediator probability weights",
    "description": "This function is similar to R function \\code{neWeight} from the \\code{mmedflex} package.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMediation",
    "function_name": "regmedintDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Regression-based causal mediation analysis",
    "description": "This function is similar to R function \\code{regmedint} from the \\code{regmedint} package.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMediation",
    "function_name": "test.TMintDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Significance Test for Treatment-Mediator Interaction in Causal Mediation Analysis",
    "description": "This function is similar to R function \\code{test.TMint} from the \\code{mediation} package.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMediationClient",
    "function_name": "ds.mediate",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Causal Mediation Analysis",
    "description": "This function is similar to R function \\code{mediate} from the \\code{mediation} package.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsMediationClient",
    "function_name": "ds.mediationTest",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "The Sobel mediation test",
    "description": "This function is similar to the R function \\code{mediation.test} that is included in the \\code{bda} package. The function computes statistics and p-values for three versions of Sobel mediation test: Sobel test, Aroian test and Goodman test.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsMediationClient",
    "function_name": "ds.multimed",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Estimation and Sensitivity Analysis for Multiple Causal Mechanisms",
    "description": "This function is similar to R function \\code{multimed} from the \\code{mediation} package.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMediationClient",
    "function_name": "ds.neEffdecomp",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Linear hypotheses for natural effect models",
    "description": "This function is similar to R function \\code{neEffdecomp} from the \\code{medflex} package.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMediationClient",
    "function_name": "ds.neImpute",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Expand the dataset and impute nested counterfactual outcomes",
    "description": "This function is similar to R function \\code{neImpute} from the \\code{mmedflex} package.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMediationClient",
    "function_name": "ds.neLht",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Linear hypotheses for natural effect models",
    "description": "This function is similar to R function \\code{neLht} from the \\code{medflex} package.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMediationClient",
    "function_name": "ds.neModel",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Fit a natural effect model",
    "description": "This function is similar to R function \\code{neModel} from the \\code{medflex} package.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMediationClient",
    "function_name": "ds.neWeight",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Expand the dataset and calculate ratio-of-mediator probability weights",
    "description": "This function is similar to R function \\code{neWeight} from the \\code{mmedflex} package.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMediationClient",
    "function_name": "ds.regmedint",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Regression-based causal mediation analysis",
    "description": "This function is similar to R function \\code{regmedint} from the \\code{regmedint} package.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMediationClient",
    "function_name": "ds.test.TMint",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Significance Test for Treatment-Mediator Interaction in Causal Mediation Analysis",
    "description": "This function is similar to R function \\code{test.TMint} from the \\code{mediation} package.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMicrobiome",
    "function_name": "adonisDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Generates the results of adonis function and store it on the server",
    "description": "This function is implemented by wapper around the \\code{vegan} function \\code{adonisDS}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMicrobiome",
    "function_name": "adonis_assignDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Generates the results of adonis function and store it on the server",
    "description": "This function is implemented by wapper around the \\code{vegan} function \\code{adonisDS}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMicrobiome",
    "function_name": "capscaleDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Generates the results of capscale function and store it on the server",
    "description": "This function is implemented by wapper around the \\code{vegan} function \\code{capscaleDS}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMicrobiome",
    "function_name": "capscale_assignDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Generates the results of capscale function and store it on the server",
    "description": "This function is implemented by wapper around the \\code{vegan} function \\code{capscaleDS}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMicrobiome",
    "function_name": "diversityDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Generates the results of diversity function and store it on the server",
    "description": "This function is implemented by wapper around the \\code{vegan} function \\code{diversityDS}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMicrobiome",
    "function_name": "diversity_assignDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Generates the results of diversity function and store it on the server",
    "description": "This function is implemented by wapper around the \\code{vegan} function \\code{diversityDS}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMicrobiome",
    "function_name": "vegdistDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Generates the results of vegdist function and store it on the server",
    "description": "This function is implemented by wapper around the \\code{vegan} function \\code{vegdistDS}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMicrobiome",
    "function_name": "vegdist_assignDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Generates the results of vegdist function and store it on the server",
    "description": "This function is implemented by wapper around the \\code{vegan} function \\code{vegdistDS}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsMicrobiomeClient",
    "function_name": "ds.adonis",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Initiates the adonis of a server-side R object",
    "description": "Uses adonis to create R object on the server-side.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsMicrobiomeClient",
    "function_name": "ds.adonis_assign",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Initiates the adonis of a server-side R object",
    "description": "Uses adonis to create R object on the server-side.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsMicrobiomeClient",
    "function_name": "ds.capscale",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Initiates the capscale of a server-side R object",
    "description": "Uses capscale to create R object on the server-side.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsMicrobiomeClient",
    "function_name": "ds.capscale_assign",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Initiates the capscale of a server-side R object",
    "description": "Uses capscale to create R object on the server-side.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsMicrobiomeClient",
    "function_name": "ds.diversity",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Initiates the diversity of a server-side R object",
    "description": "Uses diversity to create R object on the server-side.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsMicrobiomeClient",
    "function_name": "ds.diversity_assign",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Initiates the diversity of a server-side R object",
    "description": "Uses diversity to create R object on the server-side.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsMicrobiomeClient",
    "function_name": "ds.vegdist",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Initiates the vegdist of a server-side R object",
    "description": "Uses vegdist to create R object on the server-side.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsMicrobiomeClient",
    "function_name": "ds.vegdist_assign",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Initiates the vegdist of a server-side R object",
    "description": "Uses vegdist to create R object on the server-side.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsOMOP",
    "function_name": "analysis_catalog",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOMOP",
    "function_name": "interface",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "Creates a server-side connection to an OMOP CDM database from a DataSHIELD resource. The handle is retained within the current DataSHIELD server session and used by all subsequent OMOP operations.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOMOP",
    "function_name": "manipulate",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "Inner or left join of two server-side, token-keyed omop.table frames. Joining is restricted to the person/subject token so a client cannot use \\code{by} to pivot on a protected identifier other than the person key. The joined result is re-gated on its distinct-person token count (fail-closed) before it can become a symbol.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsOMOP",
    "function_name": "privacy",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsOMOP",
    "function_name": "privacy_release_bindings",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOMOP",
    "function_name": "querylibrary_sticky_catalog",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOMOP",
    "function_name": "staging_contract",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOMOPClient",
    "function_name": "achilles",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsOMOPClient",
    "function_name": "analysis",
    "architecture_type": "other",
    "function_type": "assign",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsOMOPClient",
    "function_name": "cohort",
    "architecture_type": "other",
    "function_type": "assign",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsOMOPClient",
    "function_name": "dictionary",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "Queries each connected server for the list of OMOP CDM tables present in the database. Returns metadata including the schema category (\\code{\"CDM\"}, \\code{\"Vocabulary\"}, \\code{\"Results\"}) and whether the table contains a \\code{person_id} column. An optional filter allows restricting results to a single schema category.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsOMOPClient",
    "function_name": "exploration",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "Returns a public numeric grid configured by the data controller for an OMOP column. The server releases the complete grid only when every bin is supported by the minimum number of distinct persons after one-contribution- per-person reduction. Edges are not estimated from protected values.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsOMOPClient",
    "function_name": "feature",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsOMOPClient",
    "function_name": "manipulate",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsOMOPClient",
    "function_name": "ohdsi_results",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOMOPClient",
    "function_name": "person_period",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOMOPClient",
    "function_name": "plan",
    "architecture_type": "other",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsOMOPClient",
    "function_name": "privacy",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsOMOPClient",
    "function_name": "profiling",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "Returns row counts and person counts for the specified OMOP CDM table. Results are disclosure-controlled on the server side (counts below the minimum cell threshold are suppressed) and returned per-site with optional pooled totals that sum counts across servers.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsOMOPClient",
    "function_name": "queries",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsOMOPClient",
    "function_name": "querylibrary_sticky",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOMOPClient",
    "function_name": "recipe",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsOMOPClient",
    "function_name": "result",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsOMOPClient",
    "function_name": "session",
    "architecture_type": "other",
    "function_type": "hybrid",
    "title": "",
    "description": "Reports the disclosure-control thresholds currently in effect on every connected server, so an analyst or data controller can see the effective floor each server enforces — most importantly \\code{nfilter_subset}, the minimum number of distinct persons the per-patient gate (\\code{.assertMinPersons}) requires before any result is returned. This is strictly \\strong{read-only}. The thresholds are configured server-side through R options (Opal admin panel, Armadillo config, or \\code{Rprofile.site}); there is deliberately no client-side way to lower them. Servers may report different floors, so the result is per-server.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsOMOPClient",
    "function_name": "vocabulary",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsOMOPHelper",
    "function_name": "00_class",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "This R6 class facilitates the creation and management of tables from an OMOP Common Data Model (CDM) database through a DataSHIELD connection. It provides an interface to interact with OMOP CDM data in a secure and standardized way.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "BAM2VCF",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Variant discovery on a BAM file",
    "description": "Discover variants of a BAM file and write them in a VCF file",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "DESeq2DS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Differential expression analysis on the server-side",
    "description": "Performs the DGE based on the Negative Binomial distribution",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "EGAhtsgetResourceClient",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "EGAhtsgetResourceResolver",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "GA4GHResourceClient",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "GA4GHResourceResolver",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "GDSFileResourceClient",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "GDSFileResourceResolver",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "GWASDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Genome-wide association analysis (GWAS) on the server-side",
    "description": "Performs GWAS using \\code{GENESIS} Bioconductor package",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "GenotypeDataDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Class GenotypeData.",
    "description": "Container for storing genotype data from a GWAS together with the metadata associated with the subjects (e.g. phenotypes and covariates) and SNPs involved in the study. This is a wrapper of \\code{GenotypeData} function from GWASTools package.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "Opal2FileResourceGetter",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "PCADS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Principal Component Analysis (PCA) on SNP genotype data",
    "description": "PCA for genotype data on the study server",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "PCASNPSDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Principal Component Analysis (PCA) on SNP genotype data",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "PRSDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Get Ploygenic Risk Score",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "RNAseqPreprocDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Filter Genes By Expression Level",
    "description": "Determine which genes have sufficiently large counts to be retained in a statistical analysis. This is a similar function to \\code{edgeR::filterByExpr}",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "addPhenoDataDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Add Phenotype data to ExpressionSet",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "alleleFrequencyDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Allelic frequency",
    "description": "Calculates the frequency of the A allele",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "cellCountsDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Estimate cell counts from methylation data",
    "description": "This function uses the function 'meffil.estimate.cell.counts.from.betas' from pacakge 'meffil'",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "computeN",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Compute N",
    "description": "Calculates N given gamma.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "createRSEDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "create a RangedSummarizedExperiment from a RNAseq count table and a phenotypes table",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "edgeRDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Differential expression analysis on the server-side",
    "description": "Performs a differential expression analysis based on the negative binomial distribution.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "exactHWEDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Hardy-Weinberg Equilibrium testing",
    "description": "This function performs exact Hardy-Weinberg Equilibrium testing (using Fisher's Test) over a selection of SNPs. It also counts genotype, calculates allele frequencies, and calculates inbreeding coefficients.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "extractPhenoFromGDSDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Extract phenotype table from GenotypeData object",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "fastAlleleFrequencyDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Allelic frequency",
    "description": "Calculates the frequency of the A allele on a server side GenotypeData object.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "fastGWASDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Extract Geno iterator and Pheno information from GenotypeData GDS containers",
    "description": "Internal function",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "featureDataDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Retrieve information on features recorded in eSet-derived objects.",
    "description": "This function is similar to the Biobase function \\code{featureData}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "featureNamesDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Retrieve feature names from eSets.",
    "description": "This function is similar to the Biobase function \\code{featureNames}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "fvarLabelsDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Retrieve names of annotation from eSets.",
    "description": "This function is similar to the Biobase function \\code{featureNames}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "genoDimensionsDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Get main dimensions of Genotype data",
    "description": "Get the number of SNPs, number of scans and number of chromosomes on the genotype file",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "getChromosomeNamesDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Get names of chromosomes",
    "description": "Get the names of the chromosomes of a GenotypeData object",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "getSNPSbyGenDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Subset GDS with gene(s)",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "getVariable",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Get slot of GDS object",
    "description": "Available slots are limited to: \\code{snp.id}, \\code{snp.rs.id}, \\code{snp.position}, \\code{snp.chromosome} and \\code{snp.allele}",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "laplaceNoise",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Random laplace generator",
    "description": "Extracted from https://rpubs.com/mengxu/gaussian-and-laplace-noise",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "limmaDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Differential expression analysis using limma on the server-side",
    "description": "Performs differential expression analysis using LIMMA",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "limmaDS2",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Differential expression analysis using limma on the server-side",
    "description": "Performs differential expression analysis using LIMMA",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "lmFeatureDS",
    "architecture_type": "server (no export)",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "make_valid_namesDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Rename column names and character variables",
    "description": "Passes the column names and the character variables through \\code{make.names}, this creates names without any special characters so there are no problems for accessing any columns or any category when using the DataSHIELD parser.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "methylation_array_convertDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Convert a Methylation ExpressionSet from EPIC to 450k Array",
    "description": "This function subsets a methylation ExpressionSet from an EPIC array (850k probes) to a 450k array or vice versa.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "nFeaturesDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Retrieve number of features from eSets and RangedSummarizedExperiments.",
    "description": "This function is similar to the Biobase function \\code{dim}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "nSamplesDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Retrieve number of samples from eSets and RangedSummarizedExperiments.",
    "description": "This function is similar to the Biobase function \\code{dim}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "pDataDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Retrieve information on experimental phenotypes recorded in eSet and ExpressionSet-derived classes",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "plinkDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Genome-wide association analysis (GWAS) using PLINK",
    "description": "Performs GWAS using PLINK using shell command lines",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "plotPCADS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Grouping to plot PCA",
    "description": "Function used by \\code{dsOmicsClient::plotPCA} to get the groupings",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "plotPCASNPSDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Grouping to plot PCA",
    "description": "Function used by \\code{dsOmicsClient::plotPCASNPS} to get the groupings",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "removeOutliersDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Filter potential CpG outliers",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "selFeatureDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Subset the information of a given feature in a eSet object.",
    "description": "This function creates a data frame with a given feature and variables of a eSet object.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "selSNPDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Subset the information of a given SNP in a GDS object.",
    "description": "This function creates a data frame with a given SNP and variables from a GDS and data.frame objects.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "snptestDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Interface to run SNPtest commands on a ssh connection (with SNPtest 2.5.2 installed)",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "subsetExpressionSet2DS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Subset ExpressionSet",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "subsetExpressionSetDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Subset ExpressionSet",
    "description": "Subset ExpressionSet using a categorical variable of the covariates as filter. Can also subset by complete cases",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "subsetGenoDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Subset genotype",
    "description": "Subset genotype by SNPs linked with ethcity differences from",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmics",
    "function_name": "varLabelsDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Retrieve feature names from eSets.",
    "description": "This function is similar to the Biobase function \\code{featureNames}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "LocusZoom",
    "architecture_type": "other",
    "function_type": "other",
    "title": "LocusZoom",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.DESeq2",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Server-side Differential Gene Expression analysis using DESeq2",
    "description": "This function performs a non-disclosive Differential Gene Expression Analysis using \\code{DESeq2} package from Bioconductor.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.GenotypeData",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Creates a GenotypeData object at each server",
    "description": "The GenotypeData class is a container for storing genotype data from a GWAS together with the metadata associated with the subjects (i.e. phenotypes and covariates) and SNPs involved in the study.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.PCA",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Principal Component Analysis (PCA) on SNP genotype data",
    "description": "PCA for genotype data on the study server",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.PCASNPS",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Principal Component Analysis (PCA) on SNP genotype data",
    "description": "PCA for genotype data on the study server",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.PLINK",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Genome-wide association analysis (GWAS) using PLINK",
    "description": "Performs GWAS using PLINK using shell command lines",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.PRS",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Get Ploygenic Risk Score",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.RNAseqPreproc",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Filter Genes By Expression Level",
    "description": "Determine which genes have sufficiently large counts to be retained in a statistical analysis. This is a similar function to \\code{edgeR::filterByExpr}",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.addPhenoData",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Add Phenotype data to ExpressionSet",
    "description": "Add new phenotype data contained on a data.frame to an ExpressionSet. The ExpressionSet may or may not already have phenotype data. If the data.frame contains a phenotype already present on the ExpressionSet, the server function will throw an exception. The pehnotypes data.frame has to contain an ID column which does not need to contain exactly the same individuals as the ExpressionSet, only the matching individuals will be updated, no new individuals will be introduced or removed from the ExpressionSet",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.alleleFrequency",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Allelic frequency",
    "description": "Calculates the frequency of the A allele on a server side GenotypeData object.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.createRSE",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Create a RangedSummarizedExperiment from a RNAseq count table and a phenotypes table",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.edgeR",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Server-side Differential Expression Analysis using edgeR",
    "description": "This function performs a non-disclosive Differential Expression Analysis using \\code{edgeR} package functions from Bioconductor.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.exactHWE",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Hardy-Weinberg Equilibrium testing",
    "description": "This function performs exact Hardy-Weinberg Equilibrium testing (using Fisher's Test) over a selection of SNPs. It also counts genotype, calculates allele frequencies, and calculates inbreeding coefficients.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.fastGWAS",
    "architecture_type": "client",
    "function_type": "hybrid",
    "title": "Fast genome-wide association analysis (GWAS)",
    "description": "Performs a distributed GWAS using the methodology proposed on the paper https://doi.org/10.1186/1471-2105-14-166. This implementation has been adapted to DataSHIELD as it can rely on a model 0 provided by the \\code{ds.glm} function and the other steps require mostly performing colSums, which are non-disclosive. However, the results are not 100% precise, but they capture all heterogenity and individual differences between cohorts, as the method does not rely on a meta-analysis, the obtained results of this methodology are the same when used on a distributed DataSHIELD environment than they would be having all the data gathered at the same computer.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.featureData",
    "architecture_type": "client (no export)",
    "function_type": "aggregate",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.featureNames",
    "architecture_type": "client (no export)",
    "function_type": "aggregate",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.fvarLabels",
    "architecture_type": "client (no export)",
    "function_type": "aggregate",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.genoDimensions",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Get main dimensions of Genotype data",
    "description": "Get the number of SNPs, number of scans and number of chromosomes on the genotype file",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.getChromosomeNames",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Get names of chromosomes",
    "description": "Get the names of the chromosomes of a GenotypeData object on the server side",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.getSNPSbyGen",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Subset GDS with gene(s)",
    "description": "Subset a server side GDS with the SNPs from selected gene(s)",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.getSNPs",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Retrieve SNPs from",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.glmSNP",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Logistic regression analysis of pooled data for each SNP site in study",
    "description": "Fits a generalized linear model to gentic data for each SNP in the data sets considered, using user specified outcome and phenotypic variabes as covariates Outputs a matrix containing a beta value, standard error and p-value for each SNP",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.index.gdsn",
    "architecture_type": "client (no export)",
    "function_type": "aggregate",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.limma",
    "architecture_type": "client (no export)",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.lmFeature",
    "architecture_type": "client (no export)",
    "function_type": "hybrid",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.make_valid_names",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Rename column names and character variables",
    "description": "Passes the column names and the character variables through \\code{make.names}, this creates names without any special characters so there are no problems for accessing any columns or any category when using the DataSHIELD parser.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.metaGWAS",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Genome-wide association analysis (GWAS)",
    "description": "Performs GWAS using GENESIS",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.methylation_array_convert",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Convert a Methylation ExpressionSet from EPIC to 450k Array (DataSHIELD Client Function)",
    "description": "This function subsets a methylation ExpressionSet from an EPIC array (850k probes) to a 450k array or vice versa in a DataSHIELD environment.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.nFeatures",
    "architecture_type": "client (no export)",
    "function_type": "aggregate",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.nSamples",
    "architecture_type": "client (no export)",
    "function_type": "aggregate",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.pData",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Retrieve information on experimental phenotypes recorded in eSet and ExpressionSet-derived classes",
    "description": "These generic functions access the phenotypic data (e.g., covariates) and meta-data (e.g., descriptions of covariates) associated with an experiment.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.removeOutliers",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Filter potential CpG outliers",
    "description": "Trimming methylation beta values to remove potential outliers. Trimming scheme is as follows: trim values beyond the lower and upper outer fences. These are defined by the `pct` argument.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.snptest",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Interface to run SNPtest commands on a ssh connection (with SNPtest 2.5.2 installed)",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.subsetExpressionSet",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Subset ExpressionSet",
    "description": "Subset ExpressionSet using a categorical variable of the covariates as filter. Can also subset by complete cases",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.table_gds",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Contingency tables of phenotypes",
    "description": "Wrapper of the \\code{dsBaseClient::ds.table} to directly use the phenotype data stored on a \\code{GenotypeData} object on the server",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "ds.varLabels",
    "architecture_type": "client (no export)",
    "function_type": "aggregate",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "eafPlot",
    "architecture_type": "other",
    "function_type": "other",
    "title": "EAF plot",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "get_EGA_url",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Get EGA URL",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "get_ga4gh_url",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Get GA4GH URL",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "lambdaNPlot",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Lambda-N plot",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "manhattan",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Mannhattan Plot",
    "description": "Performs Mannhattan plot for GWAS, DGE or EWAS analysis",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "metaBetaValues",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Meta-analysis of beta values",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "metaPvalues",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Meta-analysis of p-values",
    "description": "Performs meta-analys of pvalues using the sum of logs method (Fisher's method)",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "plotPCA",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Plot the results of a \\code{ds.PCA()}",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "plotPCASNPS",
    "architecture_type": "other",
    "function_type": "aggregate",
    "title": "Plot the results of a \\code{ds.PCASNPS()}",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "pzPlot",
    "architecture_type": "other",
    "function_type": "other",
    "title": "P-Z plot",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "qqplot",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Create a quantile-quantile plot with ggplot2.",
    "description": "Assumptions: - Expected P values are uniformly distributed.\\cr - Confidence intervals assume independence between tests.\\cr We expect deviations past the confidence intervals if the tests are not independent. For example, in a genome-wide association study, the genotype at any position is correlated to nearby positions. Tests of nearby genotypes will result in similar test statistics.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsOmicsClient",
    "function_name": "seNPlot",
    "architecture_type": "other",
    "function_type": "other",
    "title": "SE-N Plot",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPUcopula",
    "function_name": "server_funs",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPUcopula",
    "function_name": "utils-pipe",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPUcopulaClient",
    "function_name": "client_funs",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "Creates or replaces the `PU_copula_model` object in the connected DataSHIELD sessions by delegating to the server-side `fitPUcopulaDS` function. The resulting object stores the fitted copula model that can be reused by subsequent client calls.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPredictBase",
    "function_name": "decodeBinary",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Deserialize object",
    "description": "Decode a given string of a serialized object.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPredictBase",
    "function_name": "encodeObject",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Serialize R object",
    "description": "This function serializes a given R object and creates a character string containing the binary of the object. This object can be send to the DataSHIELD servers.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPredictBase",
    "function_name": "getDataSHIELDInfo",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Get the session information of the DataSHIELD server",
    "description": "This method returns `sessionInfo()` from the used DataSHIELD servers. The main purpose is for testing and checking the environment used on the remote servers.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPredictBase",
    "function_name": "predictModel",
    "architecture_type": "other",
    "function_type": "assign",
    "title": "Predict model on server site",
    "description": "This function enables to make predictions on the server for any model. Requirement is that it can be serialized and deserialized without loosing model components. Therefore, use `check_serialization = TRUE`.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPredictBase",
    "function_name": "pushObject",
    "architecture_type": "other",
    "function_type": "assign",
    "title": "Push object to DataSHIELD server",
    "description": "This function pushes a serialized object and assigns a server variable to it.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPredictBase",
    "function_name": "removeMissings",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Remove missing values from data",
    "description": "Remove missing values from data and assign it to new data or old data.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPrivacy",
    "function_name": "boundedCovarianceDP",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Differentially private covariance",
    "description": "Compute a differential implementation of the covariance",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPrivacy",
    "function_name": "boundedMeanDP",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Differentially private mean",
    "description": "Computes a differentially private mean of a vector",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPrivacy",
    "function_name": "boundedStandardDeviationDP",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Differentially private standard deviation",
    "description": "Computes a differentially private standard deviation of a vector",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPrivacy",
    "function_name": "boundedSumDP",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Differentially private sum",
    "description": "Computes a differentially private sum of a vector",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPrivacy",
    "function_name": "boundedVarianceDP",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Differentially private variance",
    "description": "Computes a differentially private variance of a vector",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPrivacy",
    "function_name": "countDP",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Differentially private count",
    "description": "Computes a differentially private count of the number of elements in a vector",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPrivacy",
    "function_name": "linearRegressionDP",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Differentially private linear regression",
    "description": "Computes a differentially private linear regression",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPrivacy",
    "function_name": "maxDP",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Differentially private max",
    "description": "Computes a differentially private max of a vector",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPrivacy",
    "function_name": "medianDP",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Differentially private median",
    "description": "Computes a differentially private median of a vector",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPrivacy",
    "function_name": "minDP",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Differentially private min",
    "description": "Computes a differentially private min of a vector",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPrivacy",
    "function_name": "numValidDP",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Differential count of valid elements",
    "description": "Computes a differentially private count of valid elements of a vector",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPrivacy",
    "function_name": "sumDP",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Differential sum",
    "description": "Computes a differentially private sum of a vector",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPrivacy",
    "function_name": "sumOfSquaresDP",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Differential sum of squares",
    "description": "Computes a differentially private sum of squares of a vector",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPrivacy",
    "function_name": "tableDP",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Differentially private table",
    "description": "Computes a differentially private contingency table",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPrivacyClient",
    "function_name": "ds.boundedCovarianceDP",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Differentially private covariance",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPrivacyClient",
    "function_name": "ds.boundedMeanDP",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Differentially private mean",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPrivacyClient",
    "function_name": "ds.boundedStandardDeviationDP",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Differentially private standard deviation",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPrivacyClient",
    "function_name": "ds.boundedSumDP",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Differentially private sum",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPrivacyClient",
    "function_name": "ds.boundedVarianceDP",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Differentially private variance",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPrivacyClient",
    "function_name": "ds.chisqDP",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Differentially private chi square computation based on https://www.univ-montp3.fr/miap/ens/AES_IDS/TD4/Exo3.html",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPrivacyClient",
    "function_name": "ds.countDP",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Differentially private count",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPrivacyClient",
    "function_name": "ds.linearRegressionDP",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Differentially private count",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPrivacyClient",
    "function_name": "ds.maxDP",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Differentially private max",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPrivacyClient",
    "function_name": "ds.medianDP",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Differentially private median",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPrivacyClient",
    "function_name": "ds.minDP",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Differentially private min",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsPrivacyClient",
    "function_name": "ds.studentTestDP",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Differentially private student-test",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsQueryLibrary",
    "function_name": "dsqLoad",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Load the result of an OMOP query in the remote session(s)",
    "description": "Load remotely one of the preset queries (previously retrieved with dsqShowQueries)",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsQueryLibrary",
    "function_name": "dsqRun",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Run a OMOP dictionary aggregate query",
    "description": "Run one of the preset queries (previously retrieved with dsqShowQueries)",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsQueryLibrary",
    "function_name": "dsqShowQueries",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Show all available queries",
    "description": "Return all the available queries explained and grouped by domain.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsROCrate",
    "function_name": "audit",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsROCrate",
    "function_name": "audit_engine",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsROCrate",
    "function_name": "backend-generic",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsROCrate",
    "function_name": "backend-opal",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsROCrate",
    "function_name": "check_permissions",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsROCrate",
    "function_name": "dsROCrate",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsROCrate",
    "function_name": "print",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsROCrate",
    "function_name": "report",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsROCrate",
    "function_name": "safe-call",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsROCrate",
    "function_name": "safe_data",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsROCrate",
    "function_name": "safe_output",
    "architecture_type": "other",
    "function_type": "assign",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsROCrate",
    "function_name": "safe_people",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsROCrate",
    "function_name": "safe_project",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsROCrate",
    "function_name": "safe_setting",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsROCrate",
    "function_name": "symbol-registry",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsROCrate",
    "function_name": "utils-armadillo",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsROCrate",
    "function_name": "utils-connection",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsROCrate",
    "function_name": "utils-safe_data",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsROCrate",
    "function_name": "utils-safe_output",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsROCrate",
    "function_name": "utils-safe_people",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsROCrate",
    "function_name": "utils-safe_project",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsROCrate",
    "function_name": "utils-safe_setting",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSupportClient",
    "function_name": "ds.histAllVars",
    "architecture_type": "client",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSupportClient",
    "function_name": "ds.rse",
    "architecture_type": "client",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSupportClient",
    "function_name": "ds.summaryVars",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Executes ds.summary function for variables in a data.frame",
    "description": "The function executes the ds.summary function for all numeric or integer variables of a data.frame.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSupportClient",
    "function_name": "ds.tableBatch",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Table function for categorical data",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSupportClient",
    "function_name": "ds.wrapper",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Summarise a variable-level DataSHIELD function across variables",
    "description": "Runs a variable-level DataSHIELD aggregate function (e.g. ds.class, ds.numNA) over every column of a server-side data.frame and collates the results into one table.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSurvival",
    "function_name": "SurvDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Creates a survival object for survival analysis using the Cox proportional hazards model at the serverside environment",
    "description": "returns a summary of the Cox proportional hazards from the server side environment.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSurvival",
    "function_name": "cox.zphSLMADS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Tests the proportional hazards assumption of a Cox proportional hazards model that has been fit and saved serverside.",
    "description": "Tests the proportional hazards assumption of a Cox proportional hazards that has been fit and saved on the server side environment.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSurvival",
    "function_name": "coxphSLMADS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Performs survival analysis using the Cox proportional hazards model at the serverside environment.",
    "description": "returns a summary of the Cox proportional hazards from the server side environment.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSurvival",
    "function_name": "coxphSLMAassignDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Performs survival analysis using the Cox proportional hazards model at the serverside environment.",
    "description": "Performs survival analysis using the Cox proportional hazards models and stores the model on the server side environment.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSurvival",
    "function_name": "coxphSummaryDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Returns the summary of a Cox proportional hazards model that has been fit and saved serverside.",
    "description": "This function returns the summary of a Cox proportional hazards that has been fit and saved on the server side environment.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSurvival",
    "function_name": "plotsurvfitDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Performs plotting of survival analysis curves.",
    "description": "returns a privacy preserving survival curve.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSurvival",
    "function_name": "summarySurvDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Returns summary of survival object.",
    "description": "returns a summary of the survival Surv() object from the server side environment.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSurvival",
    "function_name": "survfitDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Creates a survival survfit object for survival analysis at the serverside environment. This is to be used for eventually plotting survival models. A survival curve is based on a tabulation of the number at risk and number of events at each unique death time.",
    "description": "creates a survfit survival object in the server side environment.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSurvival",
    "function_name": "vcovDS.coxph",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Returns variance-covariance matrix of Cox Proportional Hazard model.",
    "description": "returns a variance-covariance matrix of Cox Proportional Hazard model from the server side environment.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSurvivalClient",
    "function_name": "ds.Predict",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Creates predictions from regression models fitted with rms on the server side",
    "description": "This is a wrapper function for rms::Predict that works in the DataSHIELD infrastructure",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSurvivalClient",
    "function_name": "ds.Surv",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Creates a server-side Survival object. This is used as a response variable in in survival models and Cox proportional hazards models.",
    "description": "Creates a server side Survival object of type survival::Surv()",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSurvivalClient",
    "function_name": "ds.acmPlot",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Client-side function to generate hazard ratio plots in DataSHIELD",
    "description": "This function creates a ggplot visualization for hazard ratio analysis by getting the prediction data from the server-side acmPlotDS function.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSurvivalClient",
    "function_name": "ds.cox.zphSLMA",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Tests the proportional hazards assumption for a Cox proportional hazards model",
    "description": "This function tests the proportional hazards assumption for a Cox proportional hazards model.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSurvivalClient",
    "function_name": "ds.coxph",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Distributed Cox Proportional Hazards Model",
    "description": "This function runs a distributed Cox Proportional Hazards (PH) Model based on the WebDISCO algorithm",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSurvivalClient",
    "function_name": "ds.coxph.SLMA",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Performs survival analysis using Cox proportional hazards model",
    "description": "Passes a formula to a server side environment and returns the summary of Cox proportional hazards model from the server.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSurvivalClient",
    "function_name": "ds.coxphSLMAassign",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Performs survival analysis using Cox proportional hazards model",
    "description": "Passes a formula to a server side environment and stores the Cox proportional hazards model from the server.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSurvivalClient",
    "function_name": "ds.coxphSummary",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Returns a summary of a server-side Cox proportional hazards model",
    "description": "This function returns a summary of server-side for a Cox proportional hazards model.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSurvivalClient",
    "function_name": "ds.datadist",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Creates a server-side datadist object for use with rms package functions",
    "description": "Creates a server-side datadist object that contains statistical summaries of variables for use in plotting regression model fits.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSurvivalClient",
    "function_name": "ds.finegray",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Creates data for a Fine-Gray model",
    "description": "The function creates a dataset for fitting a Fine-Gray model using a competing risks approach",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSurvivalClient",
    "function_name": "ds.plotsurvfit",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Performs plotting of privacy preserving survival curves in DataSHIELD.",
    "description": "Performs plotting of privacy preserving survival curves.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSurvivalClient",
    "function_name": "ds.rcs",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Creates restricted cubic splines using rms package",
    "description": "Creates server-side restricted cubic splines using rms::rcs.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSurvivalClient",
    "function_name": "ds.rmsTrans",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Creates restricted cubic splines and other transformations using rms package",
    "description": "Creates server-side transformed variables using rms::rms.trans, primarily for restricted cubic splines.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSurvivalClient",
    "function_name": "ds.survfit",
    "architecture_type": "client",
    "function_type": "assign",
    "title": "Creates a server-side Survival fit (survfit) object for use in Cox proportional hazards model.",
    "description": "Creates a server side Survival fit (survfit) object,",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSurvivalClient",
    "function_name": "ds.useDatadist",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Sets a server-side datadist object as the global option",
    "description": "Sets a previously created datadist object as the global option for rms plotting functions",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSurvivalClient",
    "function_name": "ds.vcov.coxph",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Returns a variance-covariance matrix for a Cox proportional hazards model",
    "description": "This function returns a variance-covariance matrix for a Cox proportional hazards model.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnife",
    "function_name": "addDaysInterval",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSwissKnife",
    "function_name": "clogitDSS",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSwissKnife",
    "function_name": "colnamesDSS",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSwissKnife",
    "function_name": "coxphDSS",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSwissKnife",
    "function_name": "cutDSS",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSwissKnife",
    "function_name": "dimDSS",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSwissKnife",
    "function_name": "join",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSwissKnife",
    "function_name": "nlme",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSwissKnife",
    "function_name": "partColMeans",
    "architecture_type": "other",
    "function_type": "other",
    "title": "returns colmeans for this dataset",
    "description": "the client can use this function to calculate the global colmeans",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSwissKnife",
    "function_name": "partCov",
    "architecture_type": "other",
    "function_type": "other",
    "title": "calculates the matrix of sums of products of distance to the global means,",
    "description": "used as a piece of the global covariance matrix the client sums all these local matrices and divides them by N-1 -> cov matrix",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSwissKnife",
    "function_name": "partKde2d",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSwissKnife",
    "function_name": "partRange",
    "architecture_type": "other",
    "function_type": "other",
    "title": "returns the minimum and maximum of a numeric vector or numeric columns of a data frame",
    "description": "this function is similar to R function \\code{range} but instead to not return the real minimum and maximum, the computed values are multiplied by a very small random number.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSwissKnife",
    "function_name": "partialData",
    "architecture_type": "other",
    "function_type": "other",
    "title": "execute data() in the server session",
    "description": "load specified dataset",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSwissKnife",
    "function_name": "partialKmeans",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSwissKnife",
    "function_name": "rbindDSS",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSwissKnife",
    "function_name": "safeSubset",
    "architecture_type": "other",
    "function_type": "other",
    "title": "subset a dataframe",
    "description": "takes potentially unsafe row and column filters and evals them in the context of the dataframe. It takes the following precautions: * it takes a snapshot of all the envirnoments before the execution and deletes any new objects it finds after the execution * it locks all environments before the execution, so no existing object can be modified",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSwissKnife",
    "function_name": "selfUpgrade",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSwissKnife",
    "function_name": "setOptionDSS",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSwissKnife",
    "function_name": "showInfo",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Show the levels for all factors in a dataframe",
    "description": "It filters out a blacklist of columns (the options 'hidden.fields' and 'hidden.fields.regexes')",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSwissKnife",
    "function_name": "tfNNFit",
    "architecture_type": "other",
    "function_type": "other",
    "title": "returns the weights of a neural network model trained on client data",
    "description": "compiles and fits a keras/tensorflow neural network on client",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSwissKnife",
    "function_name": "widen",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Try to find an appropriate formula to pass to reshape2::dcast",
    "description": "The CDISC format can be cumbersome for analysis. The solution would be to transform the data to wide format using the function dcast from the package reshape2. However, as the actual data is not visible, choosing the right widening formula is challenging. This function applies some simple heuristics on the provided parameters and tries to guess a possible formula. This will not be necessarily the best option (and often it will fail completely) - it can still provide a starting point for further refining.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssAs",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Coerce to new type (like R as... functions)",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssClogit",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Remote clogit",
    "description": "Executes clogit \\{survival\\} on the remote nodes",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssColMeans",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Column means of a data frame",
    "description": "This function is similar to the R function colMeans",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssConsensusOPLS",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Call the ConsensusOPLS function from the package ConsensusOPLS",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssCov",
    "architecture_type": "other",
    "function_type": "other",
    "title": "The covariance matrix of a data frame or matrix",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssCoxph",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Remote coxph + (optional) survfit.coxph",
    "description": "Executes coxph \\{survival\\} and survfit \\{survival\\} on the remote nodes",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssCut",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Convert numeric to factor",
    "description": "Same as base::cut",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssDDRTree",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Call selected functions from the package DDRTree",
    "description": "At the moment only the function 'DDRTree' is implemented. Due to implementation specifics the 'X' argument for this function is mandatory (and is specified as a character, the name of a data frame).",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssGRridge",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Call selected functions from the package GRridge",
    "description": "At the moment only the functions 'CreatePartition' and 'grridge' are implemented",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssHmisc",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Call selected functions from the package Hmisc",
    "description": "At the moment only the function 'rcorrcens' is implemented. Due to implementation specifics the 'data' argument for this function is mandatory (and is specified as a character, the name of a data frame) and the 'formula' argument must be set as a character (enclosed in quotes)",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssIsUnique",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Check if a vector is unique (tipically a dataframe column)",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssJoin",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Join 2 or more dataframes",
    "description": "Applies dplyr::xxx_join on the local nodes where xxx can be any of ('inner', 'full', 'left', 'right', 'semi', 'anti')",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssLmResid",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Calculate residuals for a linear regression",
    "description": "Create a dataframe on the remote node(s) containing the residuals for one or more linear regression models. The models can be local to the respective nodes (resulted from a call to lm()) or global (resulted from a call to ds.glm). The choice between the 2 behaviours is dictated by the nature of the first argument, see below",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssMean",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Mean of a vector",
    "description": "Same as function mean()",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssMvtnorm",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Call selected functions from the package mvtnorm",
    "description": "At the moment only the function dmvnorm is implemented",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssPivot",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Widen a dataframe using reshape2::dcast",
    "description": "This function transforms long format data to wide format using the function dcast from the package reshape2.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssPrincomp",
    "architecture_type": "other",
    "function_type": "other",
    "title": "PCA on a distributed dataset",
    "description": "This function is similar to the R function princomp applied on the covariance matrix of the distributed dataset. It has the side effect of creating a scores dataframe on each node - that can be used by subsequent calls to 'biplot'.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssRange",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Get the combined range of a (number of) vector(s) or dataframes",
    "description": "If one of the parameters is a dataframe, the ranges of all the numeric columns are returned (no need to subset for them)",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssRanger",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Call selected functions from the package ranger",
    "description": "At the moment only the functions 'ranger' and 'predict' are implemented.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssRemoveOutliers",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Remove outliers from all or some of the columns of a data frame and replace them with NAs.",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssSNF",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Call selected functions from the package SNFtool",
    "description": "At the moment the functions 'standardNormalization','dist2','affinityMatrix' and 'spectralClustering' are implemented",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssScale",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Scale a dataframe",
    "description": "execute base::scale() on the nodes",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssSetOption",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Set options in remote R sessions",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssShowFactors",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Describe factors in a dataframe",
    "description": "Show the levels for all the factors in a remote dataframe",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssSmooth2d",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Create a combined smooth scatterplot",
    "description": "Like smoothScatter, it creates scatterplots with smoothed densities colour representation",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssSubset",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Subset a dataframe using free filters",
    "description": "Alternative to the datashield function ds.subset",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssSubsetByClass",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Subset any number of vectors and/or dataframes by the levels of a factor",
    "description": "Alternative to the datashield function ds.SubsetByClass",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssSynthpop",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Generate synthetic data using the synthpop package",
    "description": "The only function available is synthpop::syn",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssT",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Transpose a matrix on the remote nodes.",
    "description": "See base::t()",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssTable",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Execute the R table() function remotely. Counts under the privacy level threshold will be returned as 0.",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssUpload",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Upload an object",
    "description": "Encode and upload a local object into the remote session(s). Optionally (for very large objects) the encoded stream can be split and uploaded over multiple calls",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssUwot",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Call selected functions from the package uwot",
    "description": "Only the functions 'umap' and 'umap_transform' are implemented. The function 'umap' will only return the fgraph if specified in 'return_extra'.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssVIM",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Call selected functions from the package VIM",
    "description": "At the moment only the functions 'aggr' (which returns a result that can be visualised) and 'kNN' (which doesn't) are implemented",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssVar",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Compute the variance of a given vector",
    "description": "Similar to the R function var, corrects the datashield function ds.var.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "dssWaitForAsyncs",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Wait for previous datashield commands",
    "description": "It polls the current opal commands launched with async = TRUE until all of them complete. Allows the launch of nonblocking datashield commands, useful in web applications. The \"sleep\" argument must not be set too low (0.3 seconds is probably a good minimum) otherwise it might look like a DOS attack and be blocked by the remote server.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSwissKnifeClient",
    "function_name": "little_helpers",
    "architecture_type": "other",
    "function_type": "other",
    "title": "Encode function arguments",
    "description": "Serialize to JSON, then encode base64, then replace '+', '/' and '=' in the result in order to play nicely with the opal sentry. Used to encode non-scalar function arguments prior to sending to the opal server. There's a corresponding function in the server package calle .decode_args",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSynthetic",
    "function_name": "synDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Generating synthetic datasets",
    "description": "This function is similar to R function \\code{syn} from the \\code{synthpop} package.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSyntheticClient",
    "function_name": "ds.binary.helper",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Function to create dummy variables from factor variables",
    "description": "This is a function to assist in converting several multi-level factor variables into dummy or binary variables",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSyntheticClient",
    "function_name": "ds.genCorFlex.helper",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Function to generate synthetic data from private data on server using the package simstudy.",
    "description": "This is a function to generate synthetic data from private data on server. The function returns this synthetic data which can be used by the analyst to perform testing of code, visualization of data (on analyst computer) and testing of harmonization code.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsSyntheticClient",
    "function_name": "ds.syn",
    "architecture_type": "client",
    "function_type": "aggregate",
    "title": "Synthetic dataset generation",
    "description": "This function is similar to R function \\code{syn} from the \\code{synthpop} package.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsTidyverse",
    "function_name": "arrangeDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Order the rows of a data frame by the values of selected columns",
    "description": "DataSHIELD implementation of \\code{dplyr::arrange}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsTidyverse",
    "function_name": "asTibbleDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Coerce a data frame or matrix to a tibble",
    "description": "DataSHIELD implementation of \\code{tibble::as_tibble}. Currently only implemented for data frames and matrices.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsTidyverse",
    "function_name": "bindColsDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Bind multiple data frames by column",
    "description": "DataSHIELD implementation of \\code{dplyr::bind_cols}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsTidyverse",
    "function_name": "bindRowsDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Bind multiple data frames by row.",
    "description": "DataSHIELD implementation of \\code{dplyr::bind_rows}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsTidyverse",
    "function_name": "caseWhenDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Performs dplyr case_when",
    "description": "DataSHIELD implementation of \\code{dplyr::case_when}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsTidyverse",
    "function_name": "distinctDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Keep distinct/unique rows",
    "description": "DataSHIELD implementation of \\code{dplyr::distinct}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsTidyverse",
    "function_name": "filterDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Performs dplyr filter",
    "description": "DataSHIELD implementation of \\code{dplyr::filter}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsTidyverse",
    "function_name": "groupByDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Group by one or more variables",
    "description": "DataSHIELD implementation of \\code{dplyr::group_by}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsTidyverse",
    "function_name": "groupKeysDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Performs dplyr \\code{group_keys}.",
    "description": "DataSHIELD implementation of \\code{dplyr::group_keys}",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsTidyverse",
    "function_name": "ifElseDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Vectorised if-else",
    "description": "DataSHIELD implementation of \\code{dplyr::if_else}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsTidyverse",
    "function_name": "mutateDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Create, modify, and delete columns",
    "description": "DataSHIELD implementation of \\code{mutate}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsTidyverse",
    "function_name": "renameDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Rename columns",
    "description": "DataSHIELD implementation of \\code{dplyr::rename}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsTidyverse",
    "function_name": "selectDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Keep or drop columns using their names and types",
    "description": "DataSHIELD implementation of \\code{dplyr::select}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsTidyverse",
    "function_name": "sliceDS",
    "architecture_type": "server",
    "function_type": "other",
    "title": "Subset rows using their positions",
    "description": "DataSHIELD implementation of \\code{dplyr::slice}.",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsTidyverse",
    "function_name": "utils",
    "architecture_type": "other",
    "function_type": "other",
    "title": "listDisclosureSettingsDS",
    "description": "This server-side function is an aggregate function that is called by the ds.listDisclosureSettings",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsTidyverseClient",
    "function_name": "ds.arrange",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Order the rows of a data frame by the values of selected columns",
    "description": "DataSHIELD implementation of \\code{dplyr::arrange}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsTidyverseClient",
    "function_name": "ds.as_tibble",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Coerce a data frame or matrix to a tibble.",
    "description": "DataSHIELD implementation of \\code{tibble::as_tibble}. Currently only implemented for data frames and tibbles.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsTidyverseClient",
    "function_name": "ds.bind_cols",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Bind multiple data frames by column",
    "description": "DataSHIELD implementation of \\code{dplyr::bind_cols}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsTidyverseClient",
    "function_name": "ds.bind_rows",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Bind multiple data frames by row.",
    "description": "DataSHIELD implementation of \\code{dplyr::bind_rows}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsTidyverseClient",
    "function_name": "ds.case_when",
    "architecture_type": "client",
    "function_type": "other",
    "title": "A general vectorised if-else",
    "description": "DataSHIELD implementation of \\code{dplyr::case_when}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsTidyverseClient",
    "function_name": "ds.distinct",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Keep distinct/unique rows",
    "description": "DataSHIELD implementation of \\code{dplyr::distinct}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsTidyverseClient",
    "function_name": "ds.filter",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Keep rows that match a condition",
    "description": "DataSHIELD implementation of \\code{dplyr::filter}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsTidyverseClient",
    "function_name": "ds.group_by",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Group by one or more variables",
    "description": "DataSHIELD implementation of \\code{dplyr::group_by}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsTidyverseClient",
    "function_name": "ds.group_keys",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Describe the groups within a grouped tibble or data frame",
    "description": "DataSHIELD implementation of \\code{dplyr::group_keys}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsTidyverseClient",
    "function_name": "ds.if_else",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Vectorised if-else",
    "description": "DataSHIELD implementation of \\code{dplyr::if_else}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsTidyverseClient",
    "function_name": "ds.mutate",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Create, modify, and delete columns",
    "description": "DataSHIELD implementation of \\code{dplyr::mutate}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsTidyverseClient",
    "function_name": "ds.rename",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Rename columns",
    "description": "DataSHIELD implementation of \\code{dplyr::rename}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsTidyverseClient",
    "function_name": "ds.select",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Keep or drop columns using their names and types",
    "description": "DataSHIELD implementation of \\code{dplyr::select}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsTidyverseClient",
    "function_name": "ds.slice",
    "architecture_type": "client",
    "function_type": "other",
    "title": "Subset rows using their positions",
    "description": "DataSHIELD implementation of \\code{dplyr::slice}.",
    "category": "",
    "status": "",
    "test_file": false
  },
  {
    "package": "dsUpload",
    "function_name": "login",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": true
  },
  {
    "package": "dsUpload",
    "function_name": "upload",
    "architecture_type": "other",
    "function_type": "other",
    "title": "",
    "description": "",
    "category": "",
    "status": "",
    "test_file": false
  }
]