Package: woeR
Title: Weight of Evidence Based Segmentation of a Variable
Version: 0.2.1
Author: Kashish Soien
Maintainer: Kashish Soien <kashish.soien19@gmail.com>
Description: Segment a numeric variable based on a dichotomous dependent variable by using the weight of evidence (WOE) approach (Ref: Siddiqi, N. (2006) <doi:10.1002/9781119201731.biblio>).
    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.
Imports: dplyr
Suggests: smbinning
Depends: R (>= 3.4.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
BugReports: https://github.com/kraken19/woeR/issues
NeedsCompilation: no
Packaged: 2019-01-23 00:15:53 UTC; kashish
Repository: CRAN
Date/Publication: 2019-01-23 08:30:04 UTC
