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CollapseLevels  

Collapses Levels, Computes Information Value and WoE
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
[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 Jan. 2025.
Previous versions and publish date:
0.1.0 (2017-10-27 18:58), 0.2.0 (2017-12-04 11:30)
Other packages that cited CollapseLevels R package
View CollapseLevels citation profile
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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