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.
|     | 
This package is for version 3.1 of Bioconductor; for the stable, up-to-date release version, see limma.
Bioconductor version: 3.1
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], Aaron Lun [ctb]
Maintainer: Gordon Smyth <smyth at wehi.edu.au>
Citation (from within R,
      enter citation("limma")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("limma")
    To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("limma")
    
| R Script | Limma One Page Introduction | |
| usersguide.pdf | ||
| Reference Manual | ||
| Text | NEWS | 
Follow Installation instructions to use this package in your R session.
| Package Source | limma_3.24.15.tar.gz | 
| Windows Binary | limma_3.24.15.zip (32- & 64-bit) | 
| Mac OS X 10.6 (Snow Leopard) | limma_3.24.15.tgz | 
| Mac OS X 10.9 (Mavericks) | limma_3.24.15.tgz | 
| Subversion source | (username/password: readonly) | 
| Git source | https://github.com/Bioconductor-mirror/limma/tree/release-3.1 | 
| Package Short Url | http://bioconductor.org/packages/limma/ | 
| Package Downloads Report | Download Stats | 
 
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