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: 0.2.1 Depends: R (≥ 3.3) Imports: data.table, ggplot2, stats, utils Suggests: covr, graphics, knitr, miniUI, rmarkdown, rstudioapi, shiny, testthat (≥ 3.0.0), vdiffr Published: 2024-11-05 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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=rbin to link to this page.
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