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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.

Versions across snapshots

VersionRepositoryFileSize
3.8.0 rolling linux/jammy R-4.5 pomodoro_3.8.0.tar.gz 792.5 KiB
3.8.0 rolling linux/noble R-4.5 pomodoro_3.8.0.tar.gz 792.4 KiB
3.8.0 rolling source/ R- pomodoro_3.8.0.tar.gz 503.7 KiB
3.8.0 latest linux/jammy R-4.5 pomodoro_3.8.0.tar.gz 792.5 KiB
3.8.0 latest linux/noble R-4.5 pomodoro_3.8.0.tar.gz 792.4 KiB
3.8.0 latest source/ R- pomodoro_3.8.0.tar.gz 503.7 KiB
3.8.0 2026-04-26 source/ R- pomodoro_3.8.0.tar.gz 503.7 KiB
3.8.0 2026-04-23 source/ R- pomodoro_3.8.0.tar.gz 503.7 KiB
3.8.0 2026-04-09 windows/windows R-4.5 pomodoro_3.8.0.zip 794.1 KiB
3.8.0 2025-04-20 source/ R- pomodoro_3.8.0.tar.gz 503.7 KiB

Dependencies (latest)

Imports

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