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.
| Version: | 0.1-1 |
| 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 |
| Published: | 2018-10-14 |
| Author: | Brian J Smith [aut, cre] |
| Maintainer: | Brian J Smith <brian-j-smith at uiowa.edu> |
| BugReports: | https://github.com/brian-j-smith/MachineShop/issues |
| License: | GPL-3 |
| URL: | https://github.com/brian-j-smith/MachineShop |
| NeedsCompilation: | no |
| Citation: | MachineShop citation info |
| Materials: | README NEWS |
| CRAN checks: | MachineShop results |
| Reference manual: | MachineShop.pdf |
| Vignettes: |
Introduction to the MachineShop Package Conventions for MLModels Implementation |
| Package source: | MachineShop_0.1-1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: MachineShop_0.1-1.zip |
| OS X binaries: | r-release: MachineShop_0.1-1.tgz, r-oldrel: MachineShop_0.1-1.tgz |
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