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>
License: GPL-2
NeedsCompilation: no
CRAN checks: CollapseLevels results


Reference manual: CollapseLevels.pdf
Vignettes: "CollapseLevels"


Package source: CollapseLevels_0.3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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