Uniform interfaces to R machine learning procedures for data in
Bioconductor containers
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>
This package provides uniform interfaces to machine 
	learning code for data in R and Bioconductor containers.
R (>= 2.9), methods, BiocGenerics (>= 0.13.11), Biobase,
annotate, cluster
gdata, pls, sfsmisc, MASS, rpart, rda, genefilter, fpc, ggvis,
shiny, rgl, gbm, RColorBrewer, hwriter, threejs, mlbench
class, e1071, ipred, randomForest, gpls, pamr, nnet, ALL,
hgu95av2.db, som, hu6800.db, lattice, caret (>= 5.07),
golubEsets, ada, keggorthology, kernlab, mboost, party
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