Package: logiBin
Type: Package
Title: Binning Variables to Use in Logistic Regression
Version: 0.3
Author: Sneha Tody
Maintainer: Sneha Tody <sn.tody1@gmail.com>
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) <doi:10.1198/106186006X133933>.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: partykit, doParallel, data.table, foreach, iterators,
        parallel, stats
Suggests: knitr, rmarkdown
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-05-21 14:26:08 UTC; sneha
Repository: CRAN
Date/Publication: 2018-05-21 15:07:46 UTC
Built: R 4.6.0; ; 2026-04-27 18:04:57 UTC; unix
