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

Independent Hypothesis Weighting

Bioconductor version: Development (3.20)

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>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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


To view documentation for the version of this package installed in your system, start R and enter:

Introduction to IHW HTML R Script
Reference Manual PDF


biocViews ImmunoOncology, MultipleComparison, RNASeq, Software
Version 1.33.0
In Bioconductor since BioC 3.3 (R-3.3) (8 years)
License Artistic-2.0
Depends R (>= 3.3.0)
Imports methods, slam, lpsymphony, fdrtool, BiocGenerics
System Requirements
See More
Suggests ggplot2, dplyr, gridExtra, scales, DESeq2, airway, testthat, Matrix, BiocStyle, knitr, rmarkdown, devtools
Linking To
Depends On Me IHWpaper
Imports Me ideal, scp
Suggests Me DEWSeq, GRaNIE, metagenomeSeq, BloodCancerMultiOmics2017, BisRNA, DGEobj.utils
Links To Me
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package IHW_1.33.0.tar.gz
Windows Binary (64-bit only)
macOS Binary (x86_64) IHW_1.33.0.tgz
macOS Binary (arm64) IHW_1.33.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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