rbin: Tools for Binning Data

Manually bin data using weight of evidence and information value. Includes other binning methods such as equal length, quantile and winsorized. Options for combining levels of categorical data are also available. Dummy variables can be generated based on the bins created using any of the available binning methods. References: Siddiqi, N. (2006) <doi:10.1002/9781119201731.biblio>.

Version: 0.2.0
Depends: R (≥ 3.3)
Imports: data.table, ggplot2, stats, utils
Suggests: covr, graphics, knitr, miniUI, rmarkdown, rstudioapi, shiny, testthat, vdiffr
Published: 2020-05-14
DOI: 10.32614/CRAN.package.rbin
Author: Aravind Hebbali [aut, cre]
Maintainer: Aravind Hebbali <hebbali.aravind at gmail.com>
BugReports: https://github.com/rsquaredacademy/rbin/issues
License: MIT + file LICENSE
URL: https://github.com/rsquaredacademy/rbin, https://rbin.rsquaredacademy.com
NeedsCompilation: no
Materials: README NEWS
CRAN checks: rbin results


Reference manual: rbin.pdf
Vignettes: Introduction to rbin


Package source: rbin_0.2.0.tar.gz
Windows binaries: r-devel: rbin_0.2.0.zip, r-release: rbin_0.2.0.zip, r-oldrel: rbin_0.2.0.zip
macOS binaries: r-release (arm64): rbin_0.2.0.tgz, r-oldrel (arm64): rbin_0.2.0.tgz, r-release (x86_64): rbin_0.2.0.tgz, r-oldrel (x86_64): rbin_0.2.0.tgz
Old sources: rbin archive


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