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CollapseLevels: Collapses Levels, Computes Information Value and WoE

Contains functions to help in selecting and exploring features ( or variables ) in binary classification problems. Provides functions to compute and display information value and weight of evidence (WoE) of the variables , and to convert numeric variables to categorical variables by binning. Functions are also provided to determine which levels ( or categories ) of a categorical variable can be collapsed (or combined ) based on their response rates. The functions provided only work for binary classification problems.

Version: 0.3.0
Depends: magrittr
Imports: dplyr, lazyeval, ggplot2
Suggests: knitr, rmarkdown
Published: 2020-06-04
DOI: 10.32614/CRAN.package.CollapseLevels
Author: Krishanu Mukherjee
Maintainer: Krishanu Mukherjee <toton1181 at gmail.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: CollapseLevels results

Documentation:

Reference manual: CollapseLevels.pdf
Vignettes: "CollapseLevels"

Downloads:

Package source: CollapseLevels_0.3.0.tar.gz
Windows binaries: r-devel: CollapseLevels_0.3.0.zip, r-release: CollapseLevels_0.3.0.zip, r-oldrel: CollapseLevels_0.3.0.zip
macOS binaries: r-release (arm64): CollapseLevels_0.3.0.tgz, r-oldrel (arm64): CollapseLevels_0.3.0.tgz, r-release (x86_64): CollapseLevels_0.3.0.tgz, r-oldrel (x86_64): CollapseLevels_0.3.0.tgz
Old sources: CollapseLevels archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=CollapseLevels to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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