To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("CMA")

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

CMA

 

Synthesis of microarray-based classification

Bioconductor version: Release (3.1)

This package provides a comprehensive collection of various microarray-based classification algorithms both from Machine Learning and Statistics. Variable Selection, Hyperparameter tuning, Evaluation and Comparison can be performed combined or stepwise in a user-friendly environment.

Author: Martin Slawski <ms at cs.uni-sb.de>, Anne-Laure Boulesteix <boulesteix at ibe.med.uni-muenchen.de>, Christoph Bernau <bernau at ibe.med.uni-muenchen.de>.

Maintainer: Christoph Bernau <bernau at ibe.med.uni-muenchen.de>

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

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("CMA")

Documentation

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

browseVignettes("CMA")

 

PDF R Script CMA_vignette.pdf
PDF   Reference Manual

Details

biocViews Classification, DecisionTree, Software
Version 1.26.0
In Bioconductor since BioC 2.3 (R-2.8) (6.5 years)
License GPL (>= 2)
Depends R (>= 2.10), methods, stats, Biobase
Imports
LinkingTo
Suggests MASS, class, nnet, glmnet, e1071, randomForest, plsgenomics, gbm, mgcv, corpcor, limma, st, mvtnorm
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source CMA_1.26.0.tar.gz
Windows Binary CMA_1.26.0.zip
Mac OS X 10.6 (Snow Leopard) CMA_1.26.0.tgz
Mac OS X 10.9 (Mavericks) CMA_1.26.0.tgz
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