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 () are intended to cover remaining 90%: data preparation, profiling, selecting best variables 'dataViz', assessing model performance and other functions. Version: 1.9.6 Date: 2026-02-17 Authors@R: person("Pablo", "Casas", role = c("aut", "cre"), email = "pcasas.biz@gmail.com") Maintainer: Pablo Casas License: GPL-2 BugReports: https://github.com/pablo14/funModeling/issues URL: https://livebook.datascienceheroes.com LazyData: true Encoding: UTF-8 Imports: ROCR, ggplot2, gridExtra, pander, reshape2, scales, dplyr, rlang, utils, RColorBrewer, moments, entropy, cli, stringr Depends: R (>= 3.4.0), Hmisc (>= 3.17.1) Suggests: knitr, rmarkdown VignetteBuilder: knitr RoxygenNote: 7.1.0 Config/pak/sysreqs: cmake make libicu-dev libuv1-dev Repository: https://pablo14.r-universe.dev Date/Publication: 2026-02-17 23:58:55 UTC RemoteUrl: https://github.com/pablo14/funmodeling RemoteRef: HEAD RemoteSha: 2f5ac63c8a8da17455aef2de8a625650462d1ab2 NeedsCompilation: no Packaged: 2026-06-18 11:02:02 UTC; root Author: Pablo Casas [aut, cre]