Supervised Classification Learning and Prediction using Patient Rule Induction Method (PRIM) R package supervisedPRIM version 2.0.0 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. Software Depends: R (>= 3.1.1), stats, prim (>= 1.0.16) Suggests: kernlab, testthat David Shaub <davidshaub@gmx.com> Comprehensive R Archive Network (CRAN) David Shaub [aut, cre] GPL-3 2016-10-01 application/tgz https://CRAN.R-project.org/package=supervisedPRIM doi:10.32614/CRAN.package.supervisedPRIM