IHW

This is the development version of IHW; for the stable release version, see IHW.

Independent Hypothesis Weighting

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DOI: 10.18129/B9.bioc.IHW

Bioconductor version: Development (3.23)

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 (from within R, enter citation("IHW")):

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
 install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("IHW")

For older versions of R, please refer to the appropriate Bioconductor release.