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README.md

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# MultipleTesting
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The `MultipleTesting` package offers common algorithms for p-value adjustment and π0 estimation.
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The `MultipleTesting` package offers common algorithms for p-value adjustment and the estimation of the proportion π₀ of true null hypotheses.
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![xkcd p-value guide](pvalues.png)
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## Features
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### p-values adjustment
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### Adjustment of p-values
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* Bonferroni
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* Benjamini-Hochberg
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* Benjamini-Hochberg "Adaptive" with known π0 or π0 estimation method (see section below)
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* Adaptive Benjamini-Hochberg with known π₀ or π₀ estimation method (see section below)
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* Benjamini-Yekutieli
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* Benjamini-Liu
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* Hochberg
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* Holm
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* Hommel
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* Sidak
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* ForwardStop
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* Forward Stop
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```julia
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adjust(pvals, Bonferroni())
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```
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### π0 estimation
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### Estimation of π₀
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* Storey
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* Storey's closed-form bootstrap
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* Least SLope (LSL)
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* Two STep (TST)
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* Least Slope
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* Two Step
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* RightBoundary (Storey's estimate with dynamically chosen λ)
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* Beta-Uniform Mixture (BUM)
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* Censored BUM
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* BUM
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* FlatGrenander
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* Oracle for known π0
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* Flat Grenander
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* Oracle for known π₀
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```julia
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estimate_pi0(pvals, Storey())

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