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: | 1.9.4 |
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: | 2020-06-15 |
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 |
Reference manual: | funModeling.pdf |
Vignettes: |
funModeling quick-start |
Package source: | funModeling_1.9.4.tar.gz |
Windows binaries: | r-devel: funModeling_1.9.4.zip, r-release: funModeling_1.9.4.zip, r-oldrel: funModeling_1.9.4.zip |
macOS binaries: | r-release: funModeling_1.9.4.tgz, r-oldrel: funModeling_1.9.4.tgz |
Old sources: | funModeling archive |
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