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woeR (version 0.2.1)

Weight of Evidence Based Segmentation of a Variable

Description

Segment a numeric variable based on a dichotomous dependent variable by using the weight of evidence (WOE) approach (Ref: Siddiqi, N. (2006) ). The underlying algorithm adopts a recursive approach to create segments that are diverse in respect of their WOE values and meet the demands of user-defined parameters. The algorithm also aims to maintain a monotonic trend in WOE values of consecutive segments. As such, it can be particularly helpful in improving robustness of linear and logistic regression models.

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Version

Install

install.packages('woeR')

Monthly Downloads

3

Version

0.2.1

License

GPL-3

Maintainer

Kashish Soien

Last Published

January 23rd, 2019

Functions in woeR (0.2.1)

apply_woe

Weight of Evidence based segmentation of a variable
woe_binning

Weight of Evidence based segmentation of a variable