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
- 1.3.0
- Date
- 2019-04-23
- 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), rsample, Rsolnp, survival, tibble, utils
- Suggests
- adabag, BART, bartMachine, C50, doParallel, e1071, earth, gbm, glmnet, 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
- 2019-04-23 13:27:31 UTC; bjsmith
- Repository
- CRAN
- Date/Publication
- 2019-04-23 14:00:03 UTC
install.packages('MachineShop')
1.3.0
2 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), rsample, Rsolnp, survival, tibble, utils
Suggests
adabag, BART, bartMachine, C50, doParallel, e1071, earth, gbm, glmnet, Hmisc, kableExtra, kknn, knitr, lars, mda, MASS, mboost, nnet, partykit, pls, randomForest, ranger, rmarkdown, rms, rpart, testthat, tree, xgboost