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logiBin  

Binning Variables to Use in Logistic Regression
View on CRAN: Click here


Download and install logiBin package within the R console
Install from CRAN:
install.packages("logiBin")

Install from Github:
library("remotes")
install_github("cran/logiBin")

Install by package version:
library("remotes")
install_version("logiBin", "0.3")



Attach the package and use:
library("logiBin")
Maintained by
Sneha Tody
[Scholar Profile | Author Map]
First Published: 2017-12-12
Latest Update: 2018-05-21
Description:
Fast binning of multiple variables using parallel processing. A summary of all the variables binned is generated which provides the information value, entropy, an indicator of whether the variable follows a monotonic trend or not, etc. It supports rebinning of variables to force a monotonic trend as well as manual binning based on pre specified cuts. The cut points of the bins are based on conditional inference trees as implemented in the partykit package. The conditional inference framework is described by Hothorn T, Hornik K, Zeileis A (2006) .
How to cite:
Sneha Tody (2017). logiBin: Binning Variables to Use in Logistic Regression. R package version 0.3, https://cran.r-project.org/web/packages/logiBin. Accessed 10 May. 2025.
Previous versions and publish date:
0.1.0 (2017-12-12 19:35), 0.2 (2018-05-08 16:32)
Other packages that cited logiBin R package
View logiBin citation profile
Other R packages that logiBin depends, imports, suggests or enhances
Complete documentation for logiBin
Functions, R codes and Examples using the logiBin R package
Some associated functions: binTest . createBins . forceDecrTrend . forceIncrTrend . getBins . loanData . manualSplit . naCombine . 
Some associated R codes: logiBin.R .  Full logiBin package functions and examples
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