Bioconductor version: Release (2.7)
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 , Christoph Bernau .
Maintainer: Christoph Bernau
To install this package, start R and enter:
source("http:///biocLite.R") biocLite("CMA")
R Script | CMA_vignette.pdf |
biocViews | Statistics, Classification |
Depends | R, methods, stats, Biobase |
Imports | |
Suggests | MASS, class, nnet, glmnet, e1071, randomForest, plsgenomics, gbm, mgcv, corpcor, limma, st |
System Requirements | |
License | GPL (>= 2) |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Version | 1.8.1 |
Package Source | CMA_1.8.1.tar.gz |
Windows Binary | CMA_1.8.1.zip (32- & 64-bit) |
MacOS 10.5 (Leopard) binary | CMA_1.8.1.tgz |
Package Downloads Report | Download Stats |
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