To install this package, start R and enter:

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

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

daMA

   

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see daMA.

Efficient design and analysis of factorial two-colour microarray data

Bioconductor version: 3.4

This package contains functions for the efficient design of factorial two-colour microarray experiments and for the statistical analysis of factorial microarray data. Statistical details are described in Bretz et al. (2003, submitted)

Author: Jobst Landgrebe <jlandgr1 at gwdg.de> and Frank Bretz <bretz at bioinf.uni-hannover.de>

Maintainer: Jobst Landgrebe <jlandgr1 at gwdg.de>

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

Installation

To install this package, start R and enter:

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

Documentation

PDF   Reference Manual

Details

biocViews DifferentialExpression, Microarray, Software, TwoChannel
Version 1.46.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 12 years)
License GPL (>= 2)
Depends
Imports MASS, stats
LinkingTo
Suggests
SystemRequirements
Enhances
URL http://www.microarrays.med.uni-goettingen.de
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source daMA_1.46.0.tar.gz
Windows Binary daMA_1.46.0.zip
Mac OS X 10.9 (Mavericks) daMA_1.46.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/daMA/tree/release-3.4
Package Short Url http://bioconductor.org/packages/daMA/
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