To install this package, start R and enter:

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

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

crlmm

Genotype Calling (CRLMM) and Copy Number Analysis tool for Affymetrix SNP 5.0 and 6.0 and Illumina arrays.

Bioconductor version: 3.2

Faster implementation of CRLMM specific to SNP 5.0 and 6.0 arrays, as well as a copy number tool specific to 5.0, 6.0, and Illumina platforms

Author: Benilton S Carvalho, Robert Scharpf, Matt Ritchie, Ingo Ruczinski, Rafael A Irizarry

Maintainer: Benilton S Carvalho <benilton at unicamp.br>, Robert Scharpf <rscharpf at jhsph.edu>, Matt Ritchie <mritchie at wehi.EDU.AU>

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

To install this package, start R and enter:

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

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

browseVignettes("crlmm")

PDF		Copy number estimation
PDF		crlmm Vignette - Downstream Analysis
PDF		crlmm Vignette - Genotyping
PDF		Infrastructure for copy number analysis
PDF		Overview of copy number vignettes
PDF		Preprocessing and genotyping Illumina arrays for copy number analysis
PDF		Reference Manual
Text		NEWS

biocViews	CopyNumberVariation, Microarray, Preprocessing, SNP, Software
Version	1.28.2
In Bioconductor since	BioC 2.4 (R-2.9) (7 years)
License	Artistic-2.0
Depends	R (>= 2.14.0), oligoClasses(>= 1.21.12), preprocessCore(>= 1.17.7)
Imports	methods, Biobase(>= 2.15.4), BiocGenerics, affyio(>= 1.23.2), illuminaio, ellipse, mvtnorm, splines, stats, SNPchip, utils, lattice, ff, foreach, RcppEigen (>= 0.3.1.2.1), matrixStats, VGAM, parallel
LinkingTo	preprocessCore(>= 1.17.7)
Suggests	hapmapsnp6, genomewidesnp6Crlmm(>= 1.0.7), GGdata, snpStats, RUnit
SystemRequirements
Enhances
URL
Depends On Me
Imports Me	VanillaICE
Suggests Me	ArrayTV, hapmap370k, oligoClasses, SNPchip
Build Report

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

Package Source	crlmm_1.28.2.tar.gz
Windows Binary	crlmm_1.28.2.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	crlmm_1.28.0.tgz
Mac OS X 10.9 (Mavericks)	crlmm_1.28.2.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/crlmm/tree/release-3.2
Package Short Url	http://bioconductor.org/packages/crlmm/
Package Downloads Report	Download Stats