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 (<https://livebook.datascienceheroes.com/>) are intended to cover remaining 90%: data preparation, profiling, selecting best variables 'dataViz', assessing model performance and other functions.
| Version: |
1.9.5 |
| 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 <pcasas.biz at gmail.com> |
| BugReports: |
https://github.com/pablo14/funModeling/issues |
| License: |
GPL-2 |
| URL: |
https://livebook.datascienceheroes.com |
| NeedsCompilation: |
no |
| In views: |
AnomalyDetection |
| CRAN checks: |
funModeling results |
Documentation:
Downloads:
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