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.

Documentation

Manual: supervisedPRIM.pdf
Vignette: None available.

Maintainer: David Shaub <davidshaub at gmx.com>

Author(s): David Shaub*

Install package and any missing dependencies by running this line in your R console:

install.packages("supervisedPRIM")

Depends R (>= 3.1.1), stats, prim(>=1.0.16)
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Package supervisedPRIM
Materials
URL https://github.com/dashaub/supervisedPRIM
Task Views
Version 2.0.0
Published 2016-10-01
License GPL-3
BugReports https://github.com/dashaub/supervisedPRIM/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks supervisedPRIM check results
Package source supervisedPRIM_2.0.0.tar.gz