Package: IHW 1.33.0

Nikos Ignatiadis

IHW: Independent Hypothesis Weighting

Independent hypothesis weighting (IHW) is a multiple testing procedure that increases power compared to the method of Benjamini and Hochberg by assigning data-driven weights to each hypothesis. The input to IHW is a two-column table of p-values and covariates. The covariate can be any continuous-valued or categorical variable that is thought to be informative on the statistical properties of each hypothesis test, while it is independent of the p-value under the null hypothesis.

Authors:Nikos Ignatiadis [aut, cre], Wolfgang Huber [aut]

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Peer review:

On BioConductor:IHW-1.33.0(bioc 3.20)IHW-1.32.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

22 exports 1.45 score 4 dependencies 2 dependents 8 mentions

Last updated 2 months agofrom:34fbda606a

Exports:adj_pvaluesalphaas.data.framecovariate_typecovariatesget_bh_thresholdgroups_by_filtergroups_factorihwm_groupsnbinsnfoldsnrowplotpvaluesregularization_termrejected_hypothesesrejectionsshowthresholdsweighted_pvaluesweights

Dependencies:BiocGenericsfdrtoollpsymphonyslam