Package: supervisedPRIM 2.0.0

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.

Authors:David Shaub [aut, cre]

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Peer review:

Bug tracker:https://github.com/dashaub/supervisedprim/issues

On CRAN:

patient-rules-inductionsupervised-learning

2 exports 1 stars 0.73 score 15 dependencies 4 scripts 136 downloads

Last updated 8 years agofrom:e143da991c. Checks:ERROR: 1 WARNING: 6. Indexed: yes.

Exports:predict.supervisedPRIMsupervisedPRIM

Dependencies:clicolorspacefarvergluelabelinglifecyclemisc3dmunsellplot3DprimR6RColorBrewerrlangscalesviridisLite