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 (<>) 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 < at>
License: GPL-2
NeedsCompilation: no
CRAN checks: funModeling results


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


Package source: funModeling_1.9.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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