MachineShop

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.

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Description file content

Package
MachineShop
Type
Package
Title
Machine Learning Models and Tools
Version
1.0.0
Date
2019-01-02
Author
Brian J Smith [aut, cre]
Maintainer
Brian J Smith
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, kernlab, magrittr, methods, party, polspline, recipes (>= 0.1.4), ROCR, rsample, Rsolnp, survival, survivalROC, utils
Suggests
adabag, bartMachine, C50, doParallel, e1071, earth, gbm, glmnet, kableExtra, kknn, knitr, lars, mda, MASS, mboost, nnet, partykit, pls, randomForest, ranger, rmarkdown, rms, rpart, testthat, tree, xgboost
License
GPL-3
URL
BugReports
https://github.com/brian-j-smith/MachineShop/issues
RoxygenNote
6.1.1
VignetteBuilder
knitr
NeedsCompilation
no
Packaged
2019-01-02 13:47:32 UTC; bjsmith
Repository
CRAN
Date/Publication
2019-01-02 14:30:12 UTC

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