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CRAN: Package pomodoro

pomodoro: Predictive Power of Linear and Tree Modeling

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 <seymakalay at hotmail.com> 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 Documentation: Reference manual: pomodoro.pdf Vignettes: Pomodoro_Vignette
Downloads: Package source: pomodoro_3.8.0.tar.gz Windows binaries: r-devel: pomodoro_3.8.0.zip, r-release: pomodoro_3.8.0.zip, r-oldrel: pomodoro_3.8.0.zip macOS binaries: r-release (arm64): pomodoro_3.8.0.tgz, r-oldrel (arm64): pomodoro_3.8.0.tgz, r-release (x86_64): pomodoro_3.8.0.tgz, r-oldrel (x86_64): pomodoro_3.8.0.tgz Old sources: pomodoro archive Linking:

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