To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("multtest")

In most cases, you don't need to download the package archive at all.

multtest

Resampling-based multiple hypothesis testing

Bioconductor version: Release (2.14)

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 <kpollard at gladstone.ucsf.edu>

Citation (from within R, enter citation("multtest")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("multtest")

Documentation

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

browseVignettes("multtest")

 

PDF   Reference Manual

Details

biocViews DifferentialExpression, Microarray, MultipleComparison, Software
Version 2.20.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier
License LGPL
Depends R (>= 2.10), methods, Biobase
Imports survival, MASS, stats4
Suggests snow
System Requirements
URL
Depends On Me a4Base, aCGH, BicARE, iPAC, KCsmart, LMGene, PREDA, REDseq, SAGx, siggenes, webbioc
Imports Me ABarray, aCGH, adSplit, anota, ChIPpeakAnno, GeneSelector, globaltest, IsoGeneGUI, OCplus, phyloseq, REDseq, RTopper, synapter, webbioc
Suggests Me annaffy, BiocCaseStudies, ecolitk, factDesign, GeneSelector, GGtools, GOstats, GSEAlm, maigesPack, MmPalateMiRNA, oneChannelGUI, pcot2, PECA, topGO, xcms

Package Archives

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Package Source multtest_2.20.0.tar.gz
Windows Binary multtest_2.20.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) multtest_2.20.0.tgz
Mac OS X 10.9 (Mavericks) multtest_2.20.0.tgz
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