CMA
This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see CMA.
Synthesis of microarray-based classification
Bioconductor version: 3.19
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: Roman Hornung <hornung at ibe.med.uni-muenchen.de>
citation("CMA")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("CMA")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CMA")
CMA_vignette.pdf | R Script | |
Reference Manual |
Details
biocViews | Classification, DecisionTree, Software |
Version | 1.62.0 |
In Bioconductor since | BioC 2.3 (R-2.8) (16 years) |
License | GPL (>= 2) |
Depends | R (>= 2.10), methods, stats, Biobase |
Imports | |
System Requirements | |
URL |
See More
Suggests | MASS, class, nnet, glmnet, e1071, randomForest, plsgenomics, gbm, mgcv, corpcor, limma, st, mvtnorm |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | CMA_1.62.0.tar.gz |
Windows Binary (x86_64) | CMA_1.62.0.zip |
macOS Binary (x86_64) | CMA_1.62.0.tgz |
macOS Binary (arm64) | CMA_1.62.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/CMA |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/CMA |
Bioc Package Browser | https://code.bioconductor.org/browse/CMA/ |
Package Short Url | https://bioconductor.org/packages/CMA/ |
Package Downloads Report | Download Stats |