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IHW

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

Independent Hypothesis Weighting

Bioconductor version: Development (3.18)

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 "4.3") 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.

Documentation

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

browseVignettes("IHW")
Introduction to IHW HTML R Script
Reference Manual PDF

Details

biocViews ImmunoOncology, MultipleComparison, RNASeq, Software
Version 1.29.0
In Bioconductor since BioC 3.3 (R-3.3) (7.5 years)
License Artistic-2.0
Depends R (>= 3.3.0)
Imports methods, slam, lpsymphony, fdrtool, BiocGenerics
Linking To
Suggests ggplot2, dplyr, gridExtra, scales, DESeq2, airway, testthat, Matrix, BiocStyle, knitr, rmarkdown, devtools
System Requirements
Enhances
URL
See More
Depends On Me IHWpaper
Imports Me ideal
Suggests Me BloodCancerMultiOmics2017, DEWSeq, GRaNIE, metagenomeSeq, SummarizedBenchmark
Links To Me
Build Report  

Package Archives

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

Source Package IHW_1.29.0.tar.gz
Windows Binary
macOS Binary (x86_64) IHW_1.29.0.tgz
macOS Binary (arm64) IHW_1.29.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/IHW
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/IHW
Bioc Package Browser https://code.bioconductor.org/browse/IHW/
Package Short Url https://bioconductor.org/packages/IHW/
Package Downloads Report Download Stats