To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("sigaR")

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

sigaR

statistics for integrative genomics analyses in R

Bioconductor version: 3.1

Facilites the joint analysis of high-throughput data from multiple molecular levels. Contains functions for manipulation of objects, various analysis types, and some visualization.

Author: Wessel N. van Wieringen <w.vanwieringen at vumc.nl>

Maintainer: Wessel N. van Wieringen <w.vanwieringen at vumc.nl>

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

Installation

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("sigaR")

Documentation

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

browseVignettes("sigaR")

 

PDF R Script sigaR
PDF   Reference Manual

Details

biocViews DifferentialExpression, GeneExpression, Microarray, Pathways, Software, aCGH
Version 1.12.0
In Bioconductor since BioC 2.10 (R-2.15) (3.5 years)
License GPL (>= 2)
Depends Biobase, CGHbase, methods, mvtnorm, penalized
Imports corpcor (>= 1.6.2), graphics, igraph, marray, MASS, mvtnorm, quadprog, penalized (>= 0.9-39), snowfall, stats
LinkingTo
Suggests
SystemRequirements
Enhances
URL http://www.few.vu.nl/~wvanwie
Depends On Me HCsnip
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source sigaR_1.12.0.tar.gz
Windows Binary sigaR_1.12.0.zip
Mac OS X 10.6 (Snow Leopard) sigaR_1.12.0.tgz
Mac OS X 10.9 (Mavericks) sigaR_1.12.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/sigaR/tree/release-3.1
Package Short Url http://bioconductor.org/packages/sigaR/
Package Downloads Report Download Stats

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