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.
Total
509
Last month
240
Last week
67
Average per day
8
Daily downloads
Total downloads
Description file content
- Package
- MachineShop
- Type
- Package
- Title
- Machine Learning Models and Tools
- Version
- 0.1-1
- Date
- 2018-10-02
- 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, irr, kernlab, magrittr, methods, MLmetrics, ModelMetrics, party, recipes, rsample, survival, survivalROC, utils
- Suggests
- C50, doParallel, gbm, glmnet, kableExtra, knitr, MASS, nnet, pls, randomForest, rmarkdown, rms, testthat
- License
- GPL-3
- URL
- BugReports
- https://github.com/brian-j-smith/MachineShop/issues
- RoxygenNote
- 6.1.0
- VignetteBuilder
- knitr
- NeedsCompilation
- no
- Packaged
- 2018-10-02 19:09:28 UTC; bjsmith
- Repository
- CRAN
- Date/Publication
- 2018-10-14 15:30:19 UTC
install.packages('MachineShop')
0.1-1
a month ago
https://github.com/brian-j-smith/MachineShop
Brian J Smith
GPL-3
Imports
abind, foreach, ggplot2, Hmisc, irr, kernlab, magrittr, methods, MLmetrics, ModelMetrics, party, recipes, rsample, survival, survivalROC, utils
Suggests
C50, doParallel, gbm, glmnet, kableExtra, knitr, MASS, nnet, pls, randomForest, rmarkdown, rms, testthat