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")
| CMA Manual | R Script | |
|---|---|---|
| Reference Manual |
| biocViews | |
|---|---|
| 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 |
| Package source | CMA_1.2.0.tar.gz |
|---|---|
| Windows binary | Not Available |
| MacOS X 10.4 (Tiger) binary | CMA_1.2.0.tgz |
| MacOS X 10.5 (Leopard) binary | CMA_1.2.0.tgz |
| Package Downloads Report | Downloads Stats |