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
LazyData: true
RoxygenNote: 5.0.1
ByteCompile: true
NeedsCompilation: no
Packaged: 2016-10-01 02:46:22 UTC; david
Author: David Shaub [aut, cre]
Maintainer: David Shaub <davidshaub@gmx.com>
Repository: CRAN
Date/Publication: 2016-10-01 14:39:25
Built: R 4.6.0; ; 2026-04-27 20:36:40 UTC; unix
