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.
It appears you don't have a PDF plugin for this browser. You can
click here to download the reference manual.
Seyma Kalay, 9 days ago
Report a bug at https://github.com/seymakalay/pomodoro/issues
Browse source code at
Seyma Kalay <[email protected]>
Imports tibble, dplyr, readr, caret, gbm, stats, randomForest, pROC, ipred
Suggests knitr, rmarkdown
See at CRAN