To install this package, start R and enter:

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

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

CMA

DOI: 10.18129/B9.bioc.CMA

Synthesis of microarray-based classification

Bioconductor version: Release (3.5)

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:

## try http:// if https:// URLs are not supported
source("https://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

Version 1.34.1
In Bioconductor since BioC 2.3 (R-2.8) (9 years)
License GPL (>= 2)
Depends R (>= 2.10), methods, stats, Biobase
Imports
LinkingTo
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Source Package CMA_1.34.1.tar.gz
Windows Binary CMA_1.34.1.zip
Mac OS X 10.11 (El Capitan) CMA_1.34.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/CMA
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