To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("IHW")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.4)
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("IHW")
HTML | R Script | Introduction to IHW |
Reference Manual |
biocViews | MultipleComparison, RNASeq, Software |
Version | 1.2.0 |
In Bioconductor since | BioC 3.3 (R-3.3) (1 year) |
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 | |
Suggests Me | DESeq2 |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | IHW_1.2.0.tar.gz |
Windows Binary | IHW_1.2.0.zip |
Mac OS X 10.9 (Mavericks) | IHW_1.2.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/IHW/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/IHW/ |
Package Downloads Report | Download Stats |
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