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CollapseLevels
View on CRAN: Click
here
Download and install CollapseLevels package within the R console
Install from CRAN:
install.packages("CollapseLevels")
Install from Github:
library("remotes")
install_github("cran/CollapseLevels") Install by package version:
library("remotes")
install_version("CollapseLevels", "0.3.0") Attach the package and use:
library("CollapseLevels")
Maintained by
Krishanu Mukherjee
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-10-27
Latest Update: 2020-06-04
Description:
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.
How to cite:
Krishanu Mukherjee (2017). CollapseLevels: Collapses Levels, Computes Information Value and WoE. R package version 0.3.0, https://cran.r-project.org/web/packages/CollapseLevels. Accessed 04 Aug. 2026.
Previous versions and publish date:
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Other R packages that CollapseLevels depends,
imports, suggests or enhances
Complete documentation for CollapseLevels
Functions, R codes and Examples using
the CollapseLevels R package
Some associated functions: German_Credit . IVCalc . IVCalc2 . displayIV . displayResponseRatebyLevels . displayWOE . levelsCollapser . numericToCategorical .
Some associated R codes: IVCalc.R . IVCalc2.R . displayIV.R . displayResponseRatebyLevels.R . displayWOE.R . gVar.R . levelsCollapser.R . numericToCategorical.R . Full CollapseLevels package functions and examples
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