IHW

DOI: 10.18129/B9.bioc.IHW    

Independent Hypothesis Weighting

Bioconductor version: Release (3.6)

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>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("IHW")

Documentation

HTML	R Script	Introduction to IHW
PDF		Reference Manual

Details

biocViews	MultipleComparison, RNASeq, Software
Version	1.6.0
In Bioconductor since	BioC 3.3 (R-3.3) (2 years)
License	Artistic-2.0
Depends	R (>= 3.3.0)
Imports	methods, slam, lpsymphony, fdrtool, BiocGenerics
LinkingTo
Suggests	ggplot2, dplyr, gridExtra, scales, DESeq2, airway, testthat, Matrix, BiocStyle, knitr, rmarkdown, devtools
SystemRequirements
Enhances
URL
Depends On Me	IHWpaper
Imports Me	ideal
Suggests Me	DESeq2
Build Report

Package Archives

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

Source Package	IHW_1.6.0.tar.gz
Windows Binary	IHW_1.6.0.zip
Mac OS X 10.11 (El Capitan)	IHW_1.6.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/IHW
Package Short Url	http://bioconductor.org/packages/IHW/
Package Downloads Report	Download Stats