To install this package, start R and enter:

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

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

CNPBayes

This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see CNPBayes.

Bayesian mixture models for copy number polymorphisms

Bioconductor version: 3.2

Bayesian hierarchical mixture models for batch effects and copy number.

Author: Stephen Cristiano, Robert Scharpf, and Jacob Carey

Maintainer: Jacob Carey <jcarey15 at jhu.edu>

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

To install this package, start R and enter:

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

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

browseVignettes("CNPBayes")

biocViews	Bayesian, CopyNumberVariation, Software
Version	1.0.0
In Bioconductor since	BioC 3.2 (R-3.2) (0.5 years)
License	Artistic-2.0
Depends	foreach, GenomicRanges
Imports	Rcpp (>= 0.12.1), S4Vectors, matrixStats, RColorBrewer, gtools, oligoClasses, combinat, GenomeInfoDb, IRanges, methods, BiocGenerics
LinkingTo	Rcpp
Suggests	testthat, knitr, BiocStyle, VanillaICE(>= 1.31.3)
SystemRequirements
Enhances
URL	https://github.com/scristia/CNPBayes
BugReports	https://github.com/scristia/CNPBayes/issues
Depends On Me
Imports Me
Suggests Me
Build Report

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

Package Source	CNPBayes_1.0.0.tar.gz
Windows Binary	CNPBayes_1.0.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)
Mac OS X 10.9 (Mavericks)	CNPBayes_1.0.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/CNPBayes/tree/release-3.2
Package Short Url	http://bioconductor.org/packages/CNPBayes/
Package Downloads Report	Download Stats

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