Package: Rmagpie
Version: 1.69.0
Title: MicroArray Gene-expression-based Program In Error rate
        estimation
Author: Camille Maumet <Rmagpie@gmail.com>, with contributions from C.
        Ambroise J. Zhu
Maintainer: Camille Maumet <Rmagpie@gmail.com>
Depends: R (>= 2.6.1), Biobase (>= 2.5.5)
Imports: Biobase (>= 2.5.5), e1071, graphics, grDevices, kernlab,
        methods, pamr, stats, utils
Suggests: xtable
Description: Microarray Classification is designed for both biologists
        and statisticians. It offers the ability to train a classifier
        on a labelled microarray dataset and to then use that
        classifier to predict the class of new observations. A range of
        modern classifiers are available, including support vector
        machines (SVMs), nearest shrunken centroids (NSCs)... Advanced
        methods are provided to estimate the predictive error rate and
        to report the subset of genes which appear essential in
        discriminating between classes.
License: GPL (>= 3)
LazyLoad: yes
URL: http://www.bioconductor.org/
biocViews: Microarray, Classification
collate: AllClasses.R AllGenerics.R AllInitialize.R
        classifyNewSamples.R convertDataFile.R assessment-accessors.R
        featureSelectionOptions-accessors.R finalClassifier-accessors.R
        geneSubsets-accessors.R initialize-methods.R loadData-methods.R
        non_linear_svm.R one_layer_ext_CV.R rateGenes.R
        result2LayerCV-accessors.R resultRepeated1LayerCV-accessors.R
        rfe_zhu.R runOneLayerExtCV-methods.R runTwoLayerExtCV-methods.R
        setValidity-methods.R show-methods.R thresholds-accessors.R
        tool_case.R two_layer_ext_CV.R typeValidity.R user_interface.R
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:33:54 UTC
RemoteUrl: https://github.com/bioc/Rmagpie
RemoteRef: HEAD
RemoteSha: 01c0eac9e0411bc22e3f0aac9bd69acff5f059b7
NeedsCompilation: no
Packaged: 2026-07-05 06:05:36 UTC; root