pomodoro: Predictive Power of Linear and Tree Modeling (original) (raw)
Runs generalized and multinominal logistic (GLM and MLM) models, as well as random forest (RF), Bagging (BAG), and Boosting (BOOST). This package prints out to predictive outcomes easy for the selected data and data splits.
| Version: | 3.8.0 |
|---|---|
| Depends: | R (≥ 2.10) |
| Imports: | tibble, caret, gbm, stats, randomForest, pROC, ipred |
| Suggests: | knitr, rmarkdown |
| Published: | 2022-03-26 |
| DOI: | 10.32614/CRAN.package.pomodoro |
| Author: | Seyma Kalay |
| Maintainer: | Seyma Kalay |
| BugReports: | https://github.com/seymakalay/pomodoro/issues |
| License: | GPL-3 |
| URL: | https://github.com/seymakalay/pomodoro,https://seymakalay.github.io/pomodoro/ |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | pomodoro results |
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