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 |
| 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 |
| macOS binaries: | r-release: blkbox_1.0.tgz, r-oldrel: blkbox_1.0.tgz |
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