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funModeling (1.9.5)

Published 2026-02-24 13:47:13 +00:00 by atheaadmin

Installation

Setup this registry in your Rprofile.site file:

options("repos" = c(getOption("repos"), c(gitea="")))

To install the package, run the following command:

install.packages("funModeling")

For more information on the CRAN registry, see the documentation.

About this package

Around 10% of almost any predictive modeling project is spent in predictive modeling, 'funModeling' and the book Data Science Live Book (<https://livebook.datascienceheroes.com/>) are intended to cover remaining 90%: data preparation, profiling, selecting best variables 'dataViz', assessing model performance and other functions.Exploratory Data Analysis and Data Preparation Tool-Box

Dependencies

Imports	ROCR, ggplot2, gridExtra, pander, reshape2, scales, dplyr, lazyeval, utils, RColorBrewer, moments, entropy, cli, stringr
Depends	R (>= 3.4.0), Hmisc (>= 3.17.1)
Suggests	knitr, rmarkdown

Details

CRAN

2026-02-24 13:47:13 +00:00

1

GPL-2

Pablo Casas

Project Site

1.4 MiB

Assets (1)

funModeling_1.9.5.tar.gz 1.4 MiB

Versions (1) View all

1.9.5 2026-02-24