dashaub/supervisedPRIM: Supervised Classification Learning and Prediction using Patient Rule Induction Method (PRIM)

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.

Getting started

Package details

Maintainer
LicenseGPL-3
Version2.0.0
URL https://github.com/dashaub/supervisedPRIM
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("dashaub/supervisedPRIM")
dashaub/supervisedPRIM documentation built on May 12, 2017, 5:40 p.m.