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Rprofet (version 3.1.1)

WOE Transformation and Scorecard Builder

Description

Performs all steps in the credit scoring process. This package allows the user to follow all the necessary steps for building an effective scorecard. It provides the user functions for coarse binning of variables, Weights of Evidence (WOE) transformation, variable clustering, custom binning, visualization, and scaling of logistic regression coefficients. The results will generate a scorecard that can be used as an effective credit scoring tool to evaluate risk. For complete details on the credit scoring process, see Siddiqi (2005, ISBN:047175451X).

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Version

Install

install.packages('Rprofet')

Monthly Downloads

173

Version

3.1.1

License

GPL-3

Maintainer

Thomas Brandenburger

Last Published

February 27th, 2024

Functions in Rprofet (3.1.1)

WOE_customNum

Custom Binning Numeric Variables
WOEclust_kmeans

Kmeans Variable Clustering
WOEplotter

Visualizing WOE and Target Rates
WOEclust_hclust

Hierarchical Variable Clustering
WOEProfet

WOE Transformation
WOE_customFac

Custom Binning Factor Variables
Var_select

Select variables or filter variables by information value
ScoreDataProfet

Score a Validation Data Set
BinProfet

Coarse Binning Variable(s)
ScorecardProfet

Scorecard Builder