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IHW

This is the released version of IHW; for the devel version, see IHW.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3

Independent Hypothesis Weighting


Bioconductor version: Release (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")):

Nikos Ignatiadis, Wolfgang Huber. IHW: Independent Hypothesis Weighting. doi:10.18129/B9.bioc.IHW, R package version 1.40.0, https://bioconductor.org/packages/IHW.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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")
Introduction to Independent Hypothesis Weighting with the IHW Package HTML R Script
Reference ManualPDF

Details

biocViews ImmunoOncology, MultipleComparison, RNASeq, Software
Version1.40.0
In Bioconductor sinceBioC 3.3 (R-3.3) (10.5 years)
License Artistic-2.0
Depends R (>= 3.3.0)
Imports methods, slam, lpsymphony, fdrtool, BiocGenerics
System Requirements
URL
See More
Suggests ggplot2, dplyr, gridExtra, scales, DESeq2, airway, testthat, Matrix, BiocStyle, knitr, rmarkdown, devtools
Linking To
Enhances
Depends On Me IHWpaper
Imports Me ideal, scp
Suggests Me DEWSeq, DGEobj.utils, GRaNIE, metagenomeSeq, muscat, readyomics
Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package IHW_1.40.0.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64) IHW_1.40.0.tgz
macOS Binary (sonoma-arm64) IHW_1.40.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/IHW
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/IHW
Package Short Url https://bioconductor.org/packages/IHW/
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