multtest
This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see multtest.
Resampling-based multiple hypothesis testing
Bioconductor version: 3.15
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>
citation("multtest")):
      
    Installation
To install this package, start R (version "4.2") 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
| Reference Manual | 
Details
| biocViews | DifferentialExpression, Microarray, MultipleComparison, Software | 
| Version | 2.52.0 | 
| In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 19 years) | 
| License | LGPL | 
| Depends | R (>= 2.10), methods, BiocGenerics, Biobase | 
| Imports | survival, MASS, stats4 | 
| System Requirements | |
| URL | 
See More
| Suggests | snow | 
| Linking To | |
| Enhances | |
| Depends On Me | aCGH, BicARE, iPAC, KCsmart, PREDA, rain, REDseq, siggenes, webbioc | 
| Imports Me | a4Base, ABarray, adSplit, ALDEx2, anota, anota2seq, ChIPpeakAnno, IsoGeneGUI, mAPKL, metabomxtr, microbiomeMarker, nethet, OCplus, phyloseq, RTopper, SingleCellSignalR, singleCellTK, synapter, webbioc | 
| Suggests Me | annaffy, ecolitk, factDesign, GOstats, GSEAlm, maigesPack, ropls, topGO, xcms | 
| Links To Me | |
| Build Report | Build Report | 
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | multtest_2.52.0.tar.gz | 
| Windows Binary | multtest_2.52.0.zip (64-bit only) | 
| macOS Binary (x86_64) | multtest_2.52.0.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 | 
| Old Source Packages for BioC 3.15 | Source Archive |