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.
Bioconductor version: 2.13
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")):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("CMA")
    To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CMA")
    
| R Script | CMA_vignette.pdf | |
| Reference Manual | 
| biocViews | Classification, Software | 
| Version | 1.20.0 | 
| In Bioconductor since | BioC 2.3 (R-2.8) | 
| License | GPL (>= 2) | 
| Depends | R (>= 2.10), methods, stats, Biobase | 
| Imports | |
| Suggests | MASS, class, nnet, glmnet, e1071, randomForest, plsgenomics, gbm, mgcv, corpcor, limma, st, mvtnorm | 
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | 
Follow Installation instructions to use this package in your R session.
| Package Source | CMA_1.20.0.tar.gz | 
| Windows Binary | CMA_1.20.0.zip (32- & 64-bit) | 
| Mac OS X 10.6 (Snow Leopard) | CMA_1.20.0.tgz | 
| Browse/checkout source | (username/password: readonly) | 
| Package Downloads Report | Download Stats | 
 
  
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