blkbox: Data Exploration with Multiple Machine Learning Algorithms

Allows data to be processed by multiple machine learning algorithms at the same time, enables feature selection of data by single a algorithm or combinations of multiple. Easy to use tool for k-fold cross validation and nested cross validation.

Version: 1.0
Depends: R (≥ 3.0.0), methods
Imports: dplyr, plyr, tidyr, magrittr, caret, ggplot2, glmnet, bartMachine, reshape2, randomForest, kknn, pamr, nnet, party, rJava, e1071, pROC, stringr, xgboost, parallel, knitr, rmarkdown, shiny, shinyjs, reshape, gtools, tibble
Suggests: bigrf
Published: 2016-08-08
Author: Zachary Davies, Boris Guennewig
Maintainer: Boris Guennewig <b.guennewig at garvan.org.au>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: blkbox results

Downloads:

Reference manual: blkbox.pdf
Vignettes: Vignette Title
Package source: blkbox_1.0.tar.gz
Windows binaries: r-devel: blkbox_1.0.zip, r-release: blkbox_1.0.zip, r-oldrel: blkbox_1.0.zip
OS X Mavericks binaries: r-release: blkbox_1.0.tgz, r-oldrel: blkbox_1.0.tgz

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