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.

pomodoro

The goal of pomodoro is to provide functions to make predictive modeling easy.

Installation

You can install the released version of pomodoro from CRAN with:

install.packages("pomodoro")
library(pomodoro)

Overview

Runs bagging, boosting, random forest, multinominal logistic and logistic models. The purpose of this package is to report the predictive modelling results with ease.