Toolkit for statistical, machine learning, and targeted learning analyses. Functionality includes loading & auto-installing packages, standardizing datasets, creating missingness indicators, imputing missing values, creating multicore or multinode clusters, automatic SLURM integration, enhancing SuperLearner and TMLE with automatic parallelization, and many other SuperLearner analysis & plotting enhancements.
Version: | 1.0.0 |
Depends: | R (≥ 3.1.0) |
Imports: | caret, cvAUC, doParallel, doSNOW, foreach, ggplot2, methods, parallel, pryr, randomForest, RANN, reader, RhpcBLASctl, ROCR, snow, stringr, SuperLearner, tmle |
Suggests: | doMC, glmnet, MASS, mlbench, testthat |
Published: | 2017-06-03 |
Author: | Chris Kennedy [aut, cre] |
Maintainer: | Chris Kennedy <chrisken at gmail.com> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | ck37r results |
Reference manual: | ck37r.pdf |
Package source: | ck37r_1.0.0.tar.gz |
Windows binaries: | r-devel: ck37r_1.0.0.zip, r-release: ck37r_1.0.0.zip, r-oldrel: ck37r_1.0.0.zip |
OS X El Capitan binaries: | r-release: ck37r_1.0.0.tgz |
OS X Mavericks binaries: | r-oldrel: ck37r_1.0.0.tgz |
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