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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
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
CRAN checks: funModeling results

Documentation:

Reference manual: funModeling.pdf
Vignettes: funModeling quick-start

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:

Please use the canonical form https://CRAN.R-project.org/package=funModeling to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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