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

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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.

Author
David Shaub [aut, cre]
Date of publication
2016-10-01 14:39:25
Maintainer
David Shaub <davidshaub@gmx.com>
License
GPL-3
Version
2.0.0
URLs

View on CRAN

Man pages

predict.supervisedPRIM
Model Predictions
supervisedPRIM
Fit PRIM model to a labeled dataset

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