Package: MLInterfaces
Title: Uniform interfaces to R machine learning procedures for data in
        Bioconductor containers
Version: 1.58.0
Author: Vince Carey <stvjc@channing.harvard.edu>, Robert Gentleman,
        Jess Mar, and contributions from Jason Vertrees
        <jv@cs.dartmouth.edu> and Laurent Gatto <lg390@cam.ac.uk>
Description: This package provides uniform interfaces to machine 
	learning code for data in R and Bioconductor containers.
Maintainer: V. Carey <stvjc@channing.harvard.edu>
License: LGPL
Depends: R (>= 2.9), methods, BiocGenerics (>= 0.13.11), Biobase,
        annotate, cluster
Imports: gdata, pls, sfsmisc, MASS, rpart, rda, genefilter, fpc, ggvis,
        shiny, gbm, RColorBrewer, hwriter, threejs (>= 0.2.2), mlbench,
        stats4
Suggests: class, e1071, ipred, randomForest, gpls, pamr, nnet, ALL,
        hgu95av2.db, som, rgl, hu6800.db, lattice, caret (>= 5.07),
        golubEsets, ada, keggorthology, kernlab, mboost, party
Enhances: parallel
LazyLoad: yes
Collate: AllClasses.R RAB.R pplot.R varImp.R xval.R MLearn.R
        MLIConverters.R MLIPredicters.R localBridge.R
        methods-classifierOutput.R methods-clusteringOutput.R
        methods-learnerSchema.R schemaInterfaces.R featSel.R partPlot.R
        clDesign.R plsdaI.R performance-analytics.R hcw.R mlw.R pv.R
        plspinHcube.R
biocViews: Classification, Clustering
NeedsCompilation: no
Packaged: 2017-10-30 22:40:03 UTC; biocbuild
Built: R 3.4.1; ; 2018-02-16 10:04:19 UTC; unix
