ck37r: Chris Kennedy's R Toolkit

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

Downloads:

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 binaries: r-release: ck37r_1.0.0.tgz, r-oldrel: ck37r_1.0.0.tgz

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