funModeling: Learning Data Cleaning, Visual Analysis and Model Performance

Learn data cleaning, visual data analysis and model performance assessment (KS, AUC and ROC), package core is in the vignette documentation explaining last topics as a tutorial.

Version: 1.0
Depends: R (≥ 3.2.1), Hmisc (≥ 3.17.1)
Imports: ROCR, ggplot2, gridExtra, pander, plyr, reshape2, scales
Suggests: knitr
Published: 2016-02-07
Author: Pablo Casas
Maintainer: Pablo Casas <pabloc at datascienceheroes.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: funModeling results

Downloads:

Reference manual: funModeling.pdf
Vignettes: Using funModeling in predictive modeling
Package source: funModeling_1.0.tar.gz
Windows binaries: r-devel: funModeling_1.0.zip, r-release: funModeling_1.0.zip, r-oldrel: not available
OS X Snow Leopard binaries: r-release: funModeling_1.0.tgz, r-oldrel: not available
OS X Mavericks binaries: r-release: funModeling_1.0.tgz