MachineShop (1.4.0)

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Machine Learning Models and Tools.

Meta-package for statistical and machine learning with a common interface for model fitting, prediction, performance assessment, and presentation of results. Supports predictive modeling of numerical, categorical, and censored time-to-event outcomes and resample (bootstrap and cross-validation) estimation of model performance.

Maintainer: Brian J. Smith
Author(s): Brian J Smith [aut, cre]

License: GPL-3

Uses: abind, foreach, ggplot2, kernlab, magrittr, party, polspline, recipes, rlang, rsample, Rsolnp, survival, tibble, Hmisc, adabag, e1071, earth, gbm, kknn, lars, mboost, mda, pls, randomForest, rpart, tree, glmnet, rms, MASS, nnet, testthat, gridExtra, partykit, doParallel, knitr, C50, bartMachine, xgboost, rmarkdown, ranger, kableExtra, BART

Released 17 days ago.

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