This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see crlmm.
Bioconductor version: 3.9
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 (version "3.6") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("crlmm")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("crlmm")
Copy number estimation | ||
crlmm Vignette - Downstream Analysis | ||
R Script | crlmm Vignette - Genotyping | |
Infrastructure for copy number analysis | ||
Overview of copy number vignettes | ||
Preprocessing and genotyping Illumina arrays for copy number analysis | ||
Reference Manual | ||
Text | NEWS |
biocViews | CopyNumberVariation, Microarray, Preprocessing, SNP, Software |
Version | 1.42.0 |
In Bioconductor since | BioC 2.4 (R-2.9) (10.5 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, graphics, limma, beanplot |
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 |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | crlmm_1.42.0.tar.gz |
Windows Binary | crlmm_1.42.0.zip |
Mac OS X 10.11 (El Capitan) | crlmm_1.42.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/crlmm |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/crlmm |
Package Short Url | https://bioconductor.org/packages/crlmm/ |
Package Downloads Report | Download Stats |
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