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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.html ,CollapseLevels.pdf
Vignettes:"CollapseLevels" (source,R code)

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 formhttps://CRAN.R-project.org/package=CollapseLevelsto link to this page.


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