Package: blkbox
Type: Package
Title: Data Exploration with Multiple Machine Learning Algorithms
Version: 1.0
Date: 2016-08-05
Author: Zachary Davies, Boris Guennewig
Maintainer: Boris Guennewig <b.guennewig@garvan.org.au>
Description: 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.
License: GPL (>= 2)
LazyData: TRUE
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
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-08-07 23:44:48 UTC; boris
VignetteBuilder: knitr
Additional_repositories: http://zacdav.github.io/drat/
Repository: CRAN
Date/Publication: 2016-08-08 02:37:07
Built: R 3.4.4; ; 2019-04-25 23:09:57 UTC; windows
