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multtest

Resampling-based multiple hypothesis testing

Bioconductor version: 3.23 · Package version: 2.68.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

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.

DOI: 10.18129/B9.bioc.multtest

Installation

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

BiocManager::install("multtest")

Details

MaintainerKatherine S. Pollard <katherine.pollard@gladstone.ucsf.edu>
AuthorKatherine S. Pollard, Houston N. Gilbert, Yongchao Ge, Sandra Taylor, Sandrine Dudoit
LicenseLGPL
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsDifferentialExpression, Microarray, MultipleComparison, Software
Package Short Url https://bioconductor.org/packages/multtest/

Citation

From within R, enter citation("multtest"):

Katherine S. Pollard, Houston N. Gilbert, Yongchao Ge, Sandra Taylor, Sandrine Dudoit. multtest: Resampling-based multiple hypothesis testing. doi:10.18129/B9.bioc.multtest, R package version 2.68.0, https://bioconductor.org/packages/multtest.

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

Download

Follow the installation instructions to use this package in your R session.

Source packagemulttest_2.68.0.tar.gz
Windows binary (x86_64)multtest_2.68.0.zip
macOS binary (arm64)multtest_2.68.0.tgz
macOS binary (x86_64)multtest_2.68.0.tgz
Dependencies

Depends: R (>= 2.10), methods, BiocGenerics, Biobase

Imports: survival, MASS, stats4

Suggests: snow

Reverse dependencies

Depends On Me (11): aCGH, BicARE, cp4p, DiffCorr, KCsmart, PCS, PREDA, rain, REDseq, siggenes, webbioc

Imports Me (22): a4Base, ABarray, adSplit, ALDEx2, anota, anota2seq, BulkSignalR, ChIPpeakAnno, GUIDEseq, metabomxtr, mutoss, nethet, nlcv, OCplus, phyloseq, pRF, Qploidy, RTopper, singleCellTK, structSSI, TcGSA, webbioc

Suggests Me (12): annaffy, CAMERA, cherry, ecolitk, factDesign, GOstats, GSEAlm, metabodeconplus, POSTm, ropls, topGO, xcms