Package: CMA
Type: Package
Title: Synthesis of microarray-based classification
Version: 1.69.0
Date: 2009-09-14
Author: Martin Slawski <ms@cs.uni-sb.de>, Anne-Laure Boulesteix <boulesteix@ibe.med.uni-muenchen.de>, Christoph Bernau <bernau@ibe.med.uni-muenchen.de>.
Maintainer: Roman Hornung <hornung@ibe.med.uni-muenchen.de>
Depends: R (>= 2.10), methods, stats, Biobase
Suggests: MASS, class, nnet, glmnet, e1071, randomForest, plsgenomics, gbm, mgcv, corpcor, limma, st, mvtnorm
Description: 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.
Collate: classes.r GenerateLearningsets.r GeneSelection.r
         tune.r classification.r evaluation.r join.r compare.r
         Planarplot.r 
	 compBoostCMA.r dldaCMA.r ElasticNetCMA.r fdaCMA.r 
	 flexdaCMA.r gbmCMA.r knnCMA.r LassoCMA.r   
	 ldaCMA.r nnetCMA.r pknnCMA.r plrCMA.r
	 pls_ldaCMA.r pls_lrCMA.r pls_rfCMA.r
         pnnCMA.r qdaCMA.r rfCMA.r scdaCMA.r weighted_mcr.r wmc.r
	 shrinkldaCMA.r svmCMA.r	       
	 filter.r internals.r 
License: GPL (>= 2)
biocViews: Classification, DecisionTree
git_url: https://git.bioconductor.org/packages/CMA
git_branch: devel
git_last_commit: fdba720
git_last_commit_date: 2025-10-29
Repository: Bioconductor 3.23
