To install this package, start R and enter:

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

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

limma

Linear Models for Microarray Data

Bioconductor version: 2.14

Data analysis, linear models and differential expression for microarray data.

Author: Gordon Smyth [cre,aut], Matthew Ritchie [ctb], Jeremy Silver [ctb], James Wettenhall [ctb], Natalie Thorne [ctb], Davis McCarthy [ctb], Di Wu [ctb], Yifang Hu [ctb], Wei Shi [ctb], Belinda Phipson [ctb], Alicia Oshlack [ctb], Carolyn de Graaf [ctb], Mette Langaas [ctb], Egil Ferkingstad [ctb], Marcus Davy [ctb], Francois Pepin [ctb], Dongseok Choi [ctb]

Maintainer: Gordon Smyth <smyth at wehi.edu.au>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("limma")

PDF	R Script	Limma One Page Introduction
PDF		usersguide.pdf
PDF		Reference Manual
Text		NEWS

Details

biocViews	AlternativeSplicing, BatchEffect, Bayesian, Clustering, DataImport, DifferentialExpression, DifferentialSplicing, ExonArray, GeneExpression, GeneSetEnrichment, Genetics, Microarray, MultipleComparison, Normalization, OneChannel, Preprocessing, ProprietaryPlatforms, QualityControl, RNASeq, Regression, Software, TimeCourse, Transcription, TwoChannel, mRNAMicroarray, microRNAArray
Version	3.20.9
In Bioconductor since	BioC 1.6 (R-2.1) or earlier
License	GPL (>=2)
Depends	R (>= 2.3.0), methods
Imports
Suggests	statmod (>= 1.2.2), splines, locfit, MASS, ellipse, affy, vsn, AnnotationDbi, org.Hs.eg.db, illuminaio
System Requirements
URL	http://bioinf.wehi.edu.au/limma
Depends On Me	a4Base, AffyExpress, affylmGUI, AgiMicroRna, attract, birta, CALIB, CCl4, cghMCR, ChimpHumanBrainData, clippda, codelink, convert, COPDSexualDimorphism, Cormotif, coRNAi, DiffBind, DMRcate, DrugVsDisease, edgeR, ExiMiR, Fletcher2013a, gCMAP, HD2013SGI, HTqPCR, limmaGUI, maigesPack, maPredictDSC, marray, metagenomeSeq, metaseqR, MLSeq, MmPalateMiRNA, nem, PADOG, prot2D, qpcrNorm, qusage, Ringo, snapCGH, SSPA, tRanslatome, TurboNorm, wateRmelon
Imports Me	affycoretools, ArrayExpress, arrayQuality, arrayQualityMetrics, ArrayTools, attract, beadarray, BeadArrayUseCases, betr, bumphunter, CALIB, CancerMutationAnalysis, ChAMP, charm, ChIPpeakAnno, compcodeR, explorase, flowBin, GeneSelectMMD, GeneSelector, GGBase, HTqPCR, iChip, lmdme, LVSmiRNA, maSigPro, minfi, MmPalateMiRNA, MSstats, OLIN, PADOG, PECA, phenoTest, PhenStat, ReportingTools, Ringo, RNAinteract, RNAither, RTN, RTopper, SimBindProfiles, snapCGH, timecourse, tweeDEseq, vsn
Suggests Me	ABarray, ADaCGH2, beadarraySNP, BiocCaseStudies, BioNet, Category, categoryCompare, CMA, coGPS, dyebias, ELBOW, gage, GeneSelector, GEOquery, GSRI, GSVA, Heatplus, inSilicoDb, isobar, les, lumi, mammaPrintData, methylumi, MLP, npGSEA, oligo, oneChannelGUI, PGSEA, piano, plw, PREDA, puma, Rcade, RTopper, rtracklayer, seventyGeneData, sva, virtualArray

Package Archives

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

Package Source	limma_3.20.9.tar.gz
Windows Binary	limma_3.20.9.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	limma_3.20.9.tgz
Mac OS X 10.9 (Mavericks)	limma_3.20.9.tgz
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