Title: Machine Learning Models and Tools
Authors@R: person("Brian J", "Smith", email = "brian-j-smith@uiowa.edu", role = c("aut", "cre"))
Maintainer: Brian J Smith <brian-j-smith@uiowa.edu>
Description: 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.
Imports: abind, foreach, ggplot2, Hmisc, irr, kernlab, magrittr,
methods, MLmetrics, ModelMetrics, party, recipes, rsample,
Suggests: C50, doParallel, gbm, glmnet, kableExtra, knitr, MASS, nnet,
pls, randomForest, rmarkdown, rms, testthat

methods, MLmetrics, ModelMetrics, party, recipes (>= 0.1.4),
rsample, Rsolnp, survival, survivalROC, utils
Suggests: C50, doParallel, gbm, glmnet, kableExtra, kknn, knitr, MASS,
nnet, pls, randomForest, rmarkdown, rms, testthat, xgboost

Imports: abind, foreach, ggplot2, Hmisc, kernlab, magrittr, methods,
party, recipes (>= 0.1.4), ROCR, rsample, Rsolnp, survival,
Suggests: adabag, C50, doParallel, e1071, earth, gbm, glmnet,
kableExtra, kknn, knitr, mda, MASS, mboost, nnet, partykit,
pls, randomForest, ranger, rmarkdown, rms, rpart, testthat,

party, polspline, recipes (>= 0.1.4), ROCR, rsample, Rsolnp,
Suggests: adabag, bartMachine, C50, doParallel, e1071, earth, gbm,
glmnet, kableExtra, kknn, knitr, lars, mda, MASS, mboost, nnet,
partykit, pls, randomForest, ranger, rmarkdown, rms, rpart,

party, polspline, recipes (>= 0.1.4), rsample, Rsolnp,
Suggests: adabag, BART, bartMachine, C50, doParallel, e1071, earth,
gbm, glmnet, kableExtra, kknn, knitr, lars, mda, MASS, mboost,
nnet, partykit, pls, randomForest, ranger, rmarkdown, rms,

Imports: abind, foreach, ggplot2, kernlab, magrittr, methods, party,
polspline, recipes (>= 0.1.4), rsample, Rsolnp, survival,
gbm, glmnet, Hmisc, kableExtra, kknn, knitr, lars, mda, MASS,
mboost, nnet, partykit, pls, randomForest, ranger, rmarkdown,