Package: supervisedPRIM
Title: Supervised Classification Learning and Prediction using Patient
        Rule Induction Method (PRIM)
Version: 2.0.0
Date: 2016-10-01
Authors@R: 
  person("David", "Shaub", email = "davidshaub@gmx.com", role = c("aut", "cre"))
Description: The Patient Rule Induction Method (PRIM) is typically used
        for "bump hunting" data mining to identify regions with
        abnormally high concentrations of data with large or small
        values. This package extends this methodology so that it can be
        applied to binary classification problems and used for
        prediction.
Depends: R (>= 3.1.1), stats, prim (>= 1.0.16)
Suggests: kernlab, testthat
License: GPL-3
URL: https://github.com/dashaub/supervisedPRIM
BugReports: https://github.com/dashaub/supervisedPRIM/issues
RoxygenNote: 5.0.1
ByteCompile: true
NeedsCompilation: no
Repository: https://dashaub.r-universe.dev
Date/Publication: 2016-10-05 16:52:31 UTC
RemoteUrl: https://github.com/dashaub/supervisedprim
RemoteRef: HEAD
RemoteSha: e143da991c24b279ad2989979d30071a775c167d
Packaged: 2026-10-01 09:29:39 UTC; root
Author: David Shaub [aut, cre]
Maintainer: David Shaub <davidshaub@gmx.com>