Imports: foreach, methods, plyr, ModelMetrics (>= 1.1.0), nlme,
reshape2, stats, stats4, utils, grDevices, recipes (>= 0.0.1),

Suggests: BradleyTerry2, e1071, earth (>= 2.2-3), fastICA, gam (>=
1.15), ipred, kernlab, knitr, klaR, MASS, ellipse, mda, mgcv,
mlbench, MLmetrics, nnet, party (>= 0.9-99992), pls, pROC,
proxy, randomForest, RANN, spls, subselect, pamr, superpc,

Cubist, testthat (>= 0.9.1), rpart, dplyr

reshape2, stats, stats4, utils, grDevices, recipes (>= 0.1.4),

Depends: R (>= 3.5.0), lattice (>= 0.20), ggplot2

Depends: R (>= 3.2.0), lattice (>= 0.20), ggplot2

person("Max", "Kuhn", role = c("aut", "cre"), email = "mxkuhn@gmail.com"),
person("Andre", "Williams", role = "ctb"),
person("Allan", "Engelhardt", role = "ctb"),
person("Zachary", "Mayer", role = "ctb"),
person("Brenton", "Kenkel", role = "ctb"),
person("Michael", "Benesty", role = "ctb"),
person("Reynald", "Lescarbeau", role = "ctb"),
person("Luca", "Scrucca", role = "ctb"),
mlbench, MLmetrics, nnet, party (>= 0.9-99992), pls, proxy,

Imports: foreach, methods, plyr, ModelMetrics (>= 1.2.2.2), nlme,
reshape2, stats, stats4, utils, grDevices, recipes (>= 0.1.10),

1.15), ipred, kernlab, knitr, klaR, MASS, ellipse, Matrix, mda,
mgcv, mlbench, MLmetrics, nnet, party (>= 0.9-99992), pls,
proxy, randomForest, RANN, rmarkdown, spls, subselect, pamr,
superpc, Cubist, testthat (>= 0.9.1), rpart, dplyr, covr

Depends: ggplot2, lattice (>= 0.20), R (>= 3.2.0)
Imports: e1071, foreach, grDevices, methods, ModelMetrics (>= 1.2.2.2),
nlme, plyr, pROC, recipes (>= 0.1.10), reshape2, stats, stats4,
Suggests: BradleyTerry2, covr, Cubist, dplyr, earth (>= 2.2-3),
ellipse, fastICA, gam (>= 1.15), ipred, kernlab, klaR, knitr,
MASS, Matrix, mda, mgcv, mlbench, MLmetrics, nnet, pamr, party
(>= 0.9-99992), pls, proxy, randomForest, RANN, rmarkdown,
rpart, spls, subselect, superpc, testthat (>= 0.9.1), themis

Authors@R: c(person(c("Zachary", "A."), "Mayer", role = c("aut", "cre"),
Description: Functions for creating ensembles of caret models: caretList,
caretEnsemble, and caretStack.  caretList is a convenience function for
fitting multiple caret::train models to the same dataset. caretEnsemble will
make a linear combination of these models using greedy forward selection,
and caretStack will make linear or non-linear combinations of these models,
using a caret::train model as a meta-model.
Suggests: testthat, randomForest, rpart, kernlab, nnet, e1071, ipred,
Imports: caTools, pbapply, ggplot2, digest, plyr, grid, lattice,
Maintainer: Zachary A. Mayer <zach.mayer@gmail.com>