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: 1.0.3
Depends: R (≥ 3.1.0)
Imports: caret, checkmate, crayon, cvAUC, doParallel, foreach, future.apply, ggplot2, h2o, methods, parallel, precrec, pryr, reader, RhpcBLASctl, ROCR, rpart.plot, stringr, SuperLearner, tmle, weights
Suggests: data.table, dplyr, glmnet, lintr, MASS, magrittr, mgcv, microbenchmark, mlbench, randomForest, RANN, slam, testthat, xgboost
Published: 2020-02-06
Author: Chris Kennedy ORCID iD [aut, cre]
Maintainer: Chris Kennedy <chrisken at gmail.com>
BugReports: https://github.com/ck37/ck37r/issues
License: MIT + file LICENSE
URL: https://github.com/ck37/ck37r
NeedsCompilation: no
Materials: NEWS
CRAN checks: ck37r results

Downloads:

Reference manual: ck37r.pdf
Package source: ck37r_1.0.3.tar.gz
Windows binaries: r-devel: ck37r_1.0.3.zip, r-devel-gcc8: not available, r-release: ck37r_1.0.3.zip, r-oldrel: ck37r_1.0.3.zip
OS X binaries: r-release: not available, r-oldrel: not available
Old sources: ck37r archive

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