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.

Documentation

Manual: blkbox.pdf
Vignette: Vignette Title

Maintainer: Boris Guennewig <b.guennewig at garvan.org.au>

Author(s): Zachary Davies, Boris Guennewig

Install package and any missing dependencies by running this line in your R console:

install.packages("blkbox")

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
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Package blkbox
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Version 1.0
Published 2016-08-08
License GPL (>= 2)
BugReports
SystemRequirements
NeedsCompilation no
Citation
CRAN checks blkbox check results
Package source blkbox_1.0.tar.gz