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.


Reference manual

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1.0.0 by Chris Kennedy, 6 months ago

Browse source code at

Authors: Chris Kennedy [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

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

See at CRAN