CRAN/E | pomodoro

pomodoro

Predictive Power of Linear and Tree Modeling

Installation

About

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.

github.com/seymakalay/pomodoro
seymakalay.github.io/pomodoro/
Bug report File report

Key Metrics

Version 3.8.0
R ≥ 2.10
Published 2022-03-26 761 days ago
Needs compilation? no
License GPL-3
CRAN checks pomodoro results

Downloads

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Maintainer

Maintainer

Seyma Kalay

seymakalay@hotmail.com

Authors

Seyma Kalay

Material

README
Reference manual
Package source

Vignettes

Pomodoro_Vignette

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

pomodoro archive

Depends

R ≥ 2.10

Imports

tibble
caret
gbm
stats
randomForest
pROC
ipred

Suggests

knitr
rmarkdown