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Description

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

GitHubissues CRANstatus GitHub reposize Lifecycle:stable

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.

Metadata

Version

3.8.0

License

Unknown

Platforms (75)

    Darwin
    FreeBSD
    Genode
    GHCJS
    Linux
    MMIXware
    NetBSD
    none
    OpenBSD
    Redox
    Solaris
    WASI
    Windows
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