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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.

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Version

Install

install.packages('pomodoro')

Monthly Downloads

214

Version

3.8.0

License

GPL-3

Issues

Pull Requests

Stars

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Maintainer

Seyma Kalay

Last Published

March 26th, 2022

Functions in pomodoro (3.8.0)

Estimate_Models

Results of the Each Data and Data Splits
GBM_Model

Gradient Boosting Model
RF_Model

Random Forest
BAG_Model

Bagging Model
Combined_Performance

Combined Performance of the Data Splits
GLM_Model

Generalized Linear Model
MLM_Model

Multinominal Logistic Model
sample_data

Sample data for analysis. A dataset containing information of access to credit.