funModeling: Exploratory Data Analysis and Data Preparation Tool-Box

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.

Version:	1.9.5
Depends:	R (≥ 3.4.0), Hmisc (≥ 3.17.1)
Imports:	ROCR, ggplot2, gridExtra, pander, reshape2, scales, dplyr, lazyeval, utils, RColorBrewer, moments, entropy, cli, stringr
Suggests:	knitr, rmarkdown
Published:	2024-04-01
DOI:	10.32614/CRAN.package.funModeling
Author:	Pablo Casas [aut, cre]
Maintainer:	Pablo Casas <pcasas.biz at gmail.com>
BugReports:	https://github.com/pablo14/funModeling/issues
License:	GPL-2
URL:	https://livebook.datascienceheroes.com
NeedsCompilation:	no
In views:	AnomalyDetection
CRAN checks:	funModeling results

Documentation:

Reference manual:	funModeling.html , funModeling.pdf
Vignettes:	funModeling quick-start (source, R code)

Downloads:

Package source:	funModeling_1.9.5.tar.gz
Windows binaries:	r-devel: funModeling_1.9.5.zip, r-release: funModeling_1.9.5.zip, r-oldrel: funModeling_1.9.5.zip
macOS binaries:	r-release (arm64): funModeling_1.9.5.tgz, r-oldrel (arm64): funModeling_1.9.5.tgz, r-release (x86_64): funModeling_1.9.5.tgz, r-oldrel (x86_64): funModeling_1.9.5.tgz
Old sources:	funModeling archive

Linking:

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