Package: pomodoro
Type: Package
Title: Predictive Power of Linear and Tree Modeling
Version: 3.8.0
Author: Seyma Kalay <seymakalay@hotmail.com>
Maintainer: Seyma Kalay <seymakalay@hotmail.com>
Description: 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.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.2
URL: https://github.com/seymakalay/pomodoro,
        https://seymakalay.github.io/pomodoro/
BugReports: https://github.com/seymakalay/pomodoro/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Imports: tibble, caret, gbm, stats, randomForest, pROC, ipred
Depends: R (>= 2.10)
Config/pak/sysreqs: libicu-dev
Repository: https://seymakalay.r-universe.dev
Date/Publication: 2022-05-15 19:48:40 UTC
RemoteUrl: https://github.com/seymakalay/pomodoro
RemoteRef: HEAD
RemoteSha: 337b764fb33886e23d5ca1a53e2a3e1030d3a458
NeedsCompilation: no
Packaged: 2026-10-16 09:16:49 UTC; root