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Python package for Fisher Non-Central Hypergeometric distributions

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pyFNCH

Fisher Non Central Hypergeometric distributions can be applied to statistical tasks modeled by a biased urn, but the probability function contains a combinatorial explosion. This package implements an accurate and efficient estimation algorithm developed by Liao and Rosen, 2001, specifically for maximum likelihood estimation

Usage

estimation = FastMLE(n_success = 500, n_failure = 500, m_draws = 500)
mle = estimation.fit(x = 400)

print(mle._mle)
print(mle._lr_ci)
print(mle._score_ci)
print(mle._wald_ci)

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Python package for Fisher Non-Central Hypergeometric distributions

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