Package: MLInterfaces
Title: Uniform interfaces to R machine learning procedures for data in
        Bioconductor containers
Version: 1.78.0
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 (>= 3.5), Rcpp, methods, BiocGenerics (>= 0.13.11), Biobase,
        annotate, cluster
Imports: gdata, pls, sfsmisc, MASS, rpart, genefilter, fpc, ggvis,
        shiny, gbm, RColorBrewer, hwriter, threejs (>= 0.2.2), mlbench,
        stats4, tools, grDevices, graphics, stats, magrittr,
        SummarizedExperiment
Suggests: class, e1071, ipred, randomForest, gpls, pamr, nnet, ALL,
        hgu95av2.db, som, hu6800.db, lattice, caret (>= 5.07),
        golubEsets, ada, keggorthology, kernlab, mboost, party, klaR,
        testthat
Enhances: parallel
LazyLoad: yes
biocViews: Classification, Clustering
NeedsCompilation: no
Packaged: 2022-11-02 01:32:07 UTC; biocbuild
git_url: https://git.bioconductor.org/packages/MLInterfaces
git_branch: RELEASE_3_16
git_last_commit: 0988b95
git_last_commit_date: 2022-11-01
Date/Publication: 2022-11-01
Built: R 4.2.1; ; 2022-11-02 13:55:51 UTC; windows
