CMA

Synthesis of microarray-based classification

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 , Anne-Laure Boulesteix .
Maintainer	Martin Slawski

To install this package, start R and enter:

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

Documentation

Package Downloads

CMA Manual

Reference Manual

Package source	CMA_1.0.0.tar.gz
Windows binary	Not Available
MacOS X 10.4 (Tiger) binary	CMA_1.0.0.tgz
MacOS X 10.5 (Leopard) binary	CMA_1.0.0.tgz
Package Downloads Report	Downloads Stats

Details

biocViews	Statistics , Classification
Depends	R , methods , stats , Biobase
Imports
Suggests	MASS , class , nnet , glmpath , e1071 , randomForest , plsgenomics , gbm , mgcv , corpcor , limma
System Requirements
License	GPL (version 2 or later)
URL
Depends On Me
Imports Me
Suggests Me
Development History	Bioconductor Changelog