To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("limma")

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

limma

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see limma.

Linear Models for Microarray Data

Bioconductor version: 3.4

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

Author: Gordon Smyth [cre,aut], Yifang Hu [ctb], Matthew Ritchie [ctb], Jeremy Silver [ctb], James Wettenhall [ctb], Davis McCarthy [ctb], Di Wu [ctb], Wei Shi [ctb], Belinda Phipson [ctb], Aaron Lun [ctb], Natalie Thorne [ctb], Alicia Oshlack [ctb], Carolyn de Graaf [ctb], Yunshun Chen [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:

## try http:// if https:// URLs are not supported
source("https://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 Limma One Page Introduction
PDF usersguide.pdf
PDF Reference Manual
Text NEWS

Details

Version 3.30.13
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 12 years)
License GPL (>=2)
Depends R (>= 2.3.0)
Imports grDevices, graphics, stats, utils, methods
LinkingTo
SystemRequirements
Enhances

Package Archives

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

Package Source limma_3.30.13.tar.gz
Windows Binary limma_3.30.13.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks) limma_3.30.13.tgz
Package Downloads Report Download Stats

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