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
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

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