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.

AuthorDavid Shaub [aut, cre]
Date of publication2016-10-01 14:39:25
MaintainerDavid Shaub <davidshaub@gmx.com>
LicenseGPL-3
Version2.0.0
https://github.com/dashaub/supervisedPRIM

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Files in this package

supervisedPRIM
supervisedPRIM/inst
supervisedPRIM/inst/NEWS.md
supervisedPRIM/tests
supervisedPRIM/tests/testthat.R
supervisedPRIM/tests/testthat
supervisedPRIM/tests/testthat/test-supervisedPRIM.R
supervisedPRIM/NAMESPACE
supervisedPRIM/R
supervisedPRIM/R/supervisedPRIM.R supervisedPRIM/R/ensemblePRIM.R supervisedPRIM/R/supervisedPRIM-package.R
supervisedPRIM/README.md
supervisedPRIM/MD5
supervisedPRIM/DESCRIPTION
supervisedPRIM/man
supervisedPRIM/man/supervisedPRIM.Rd supervisedPRIM/man/predict.supervisedPRIM.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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