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varbin
View on CRAN: Click
here
Download and install varbin package within the R console
Install from CRAN:
install.packages("varbin")
Install from Github:
library("remotes")
install_github("cran/varbin")
Install by package version:
library("remotes")
install_version("varbin", "0.2.1")
Attach the package and use:
library("varbin")
Maintained by
Daniel Safai
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-10-12
Latest Update: 2018-10-12
Description:
Tool for easy and efficient discretization of continuous and categorical data. The package calculates the most optimal binning of a given explanatory variable with respect to a user-specified target variable. The purpose is to assign a unique Weight-of-Evidence value to each of the calculated binpoints in order to recode the original variable. The package allows users to impose certain restrictions on the functional form on the resulting binning while maximizing the overall information value in the original data. The package is well suited for logistic scoring models where input variables may be subject to restrictions such as linearity by e.g. regulatory authorities. An excellent source describing in detail the development of scorecards, and the role of Weight-of-Evidence coding in credit scoring is (Siddiqi 2006, ISBN: 978–0-471–75451–0). The package utilizes the discrete nature of decision trees and Isotonic Regression to accommodate the trade-off between flexible functional forms and maximum information value.
How to cite:
Daniel Safai (2018). varbin: Optimal Binning of Continuous and Categorical Variables. R package version 0.2.1, https://cran.r-project.org/web/packages/varbin. Accessed 07 Nov. 2024.
Previous versions and publish date:
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Complete documentation for varbin
Functions, R codes and Examples using
the varbin R package
Some associated functions: varbin.convert . varbin.factor . varbin.kink . varbin.monotonic . varbin . varbin.plot .
Some associated R codes: varbin.R . Full varbin package functions and examples
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