multtest

DOI: 10.18129/B9.bioc.multtest  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see multtest.

Resampling-based multiple hypothesis testing

Bioconductor version: 3.17

Non-parametric bootstrap and permutation resampling-based multiple testing procedures (including empirical Bayes methods) for controlling the family-wise error rate (FWER), generalized family-wise error rate (gFWER), tail probability of the proportion of false positives (TPPFP), and false discovery rate (FDR). Several choices of bootstrap-based null distribution are implemented (centered, centered and scaled, quantile-transformed). Single-step and step-wise methods are available. Tests based on a variety of t- and F-statistics (including t-statistics based on regression parameters from linear and survival models as well as those based on correlation parameters) are included. When probing hypotheses with t-statistics, users may also select a potentially faster null distribution which is multivariate normal with mean zero and variance covariance matrix derived from the vector influence function. Results are reported in terms of adjusted p-values, confidence regions and test statistic cutoffs. The procedures are directly applicable to identifying differentially expressed genes in DNA microarray experiments.

Author: Katherine S. Pollard, Houston N. Gilbert, Yongchao Ge, Sandra Taylor, Sandrine Dudoit

Maintainer: Katherine S. Pollard <katherine.pollard at gladstone.ucsf.edu>

Installation

To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("multtest")

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

Documentation

PDF		Reference Manual

Details

biocViews	DifferentialExpression, Microarray, MultipleComparison, Software
Version	2.56.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 18.5 years)
License	LGPL
Depends	R (>= 2.10), methods, BiocGenerics, Biobase
Imports	survival, MASS, stats4
LinkingTo
Suggests	snow
SystemRequirements
Enhances
URL
Depends On Me	aCGH, BicARE, iPAC, KCsmart, PREDA, rain, REDseq, siggenes, webbioc
Imports Me	a4Base, ABarray, adSplit, ALDEx2, anota, anota2seq, ChIPpeakAnno, GUIDEseq, mAPKL, metabomxtr, microbiomeMarker, nethet, OCplus, phyloseq, RTopper, SingleCellSignalR, singleCellTK, synapter, webbioc, xcms
Suggests Me	annaffy, ecolitk, factDesign, GOstats, GSEAlm, maigesPack, ropls, topGO
Links To Me
Build Report

Package Archives

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

Source Package	multtest_2.56.0.tar.gz
Windows Binary	multtest_2.56.0.zip (64-bit only)
macOS Binary (x86_64)	multtest_2.56.0.tgz
macOS Binary (arm64)	multtest_2.56.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/multtest
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/multtest
Bioc Package Browser	https://code.bioconductor.org/browse/multtest/
Package Short Url	https://bioconductor.org/packages/multtest/
Package Downloads Report	Download Stats