IHW
This is the released version of IHW; for the devel version, see IHW.
Independent Hypothesis Weighting
DOI: 10.18129/B9.bioc.IHW
Bioconductor version: Release (3.22)
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.
Author: Nikos Ignatiadis [aut, cre], Wolfgang Huber [aut]
Maintainer: Nikos Ignatiadis <nikos.ignatiadis01 at gmail.com>
citation("IHW")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("IHW")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("IHW")
Details
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Follow Installation instructions to use this package in your R session.