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
- 1.4.0
- Date
- 2019-06-07
- 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.
- LazyData
- yes
- Imports
- abind, foreach, ggplot2, kernlab, magrittr, methods, party, polspline, recipes (>= 0.1.4), rlang, rsample, Rsolnp, survival, tibble, utils
- Suggests
- adabag, BART, bartMachine, C50, doParallel, e1071, earth, gbm, glmnet, gridExtra, Hmisc, 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
- 2019-06-07 19:57:44 UTC; bjsmith
- Repository
- CRAN
- Date/Publication
- 2019-06-08 04:20:03 UTC
install.packages('MachineShop')
1.4.0
12 days ago
https://brian-j-smith.github.io/MachineShop/
Brian J Smith
GPL-3
Imports
abind, foreach, ggplot2, kernlab, magrittr, methods, party, polspline, recipes (>= 0.1.4), rlang, rsample, Rsolnp, survival, tibble, utils
Suggests
adabag, BART, bartMachine, C50, doParallel, e1071, earth, gbm, glmnet, gridExtra, Hmisc, kableExtra, kknn, knitr, lars, mda, MASS, mboost, nnet, partykit, pls, randomForest, ranger, rmarkdown, rms, rpart, testthat, tree, xgboost