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]

supervisedPRIM_2.0.0.tar.gz
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supervisedPRIM/json (API)
NEWS

# Install 'supervisedPRIM' in R:
install.packages('supervisedPRIM', repos = c('https://dashaub.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

On CRAN:

patient-rules-inductionsupervised-learning

2.70 score 1 stars 4 scripts 213 downloads 2 exports 15 dependencies

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

TargetResultDate
Doc / VignettesFAILNov 01 2024
R-4.5-winWARNINGNov 01 2024
R-4.5-linuxWARNINGNov 01 2024
R-4.4-winWARNINGNov 01 2024
R-4.4-macWARNINGNov 01 2024
R-4.3-winWARNINGNov 01 2024
R-4.3-macWARNINGNov 01 2024

Exports:predict.supervisedPRIMsupervisedPRIM

Dependencies:clicolorspacefarvergluelabelinglifecyclemisc3dmunsellplot3DprimR6RColorBrewerrlangscalesviridisLite