Package: funModeling
Type: Package
Title: Exploratory Data Analysis and Data Preparation Tool-Box
Description: 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: 1.9.3
Date: 2019-10-09
Authors@R: person("Pablo", "Casas", role = c("aut", "cre"), email = "pcasas.biz@gmail.com")
Maintainer: Pablo Casas <pcasas.biz@gmail.com>
License: GPL-2
BugReports: https://github.com/pablo14/funModeling/issues
URL: https://livebook.datascienceheroes.com
LazyData: true
Imports: ROCR, ggplot2, gridExtra, pander, reshape2, scales, dplyr,
        lazyeval, utils, RColorBrewer, moments, entropy, cli, stringr
Depends: R (>= 3.4.0), Hmisc (>= 3.17.1)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-10-09 01:08:22 UTC; oblaphouses
Author: Pablo Casas [aut, cre]
Repository: CRAN
Date/Publication: 2019-10-09 04:20:02 UTC
