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
supervisedPRIM_2.0.0.zip(r-4.7-any)supervisedPRIM_2.0.0.zip(r-4.6-any)supervisedPRIM_2.0.0.zip(r-4.5-any)
supervisedPRIM_2.0.0.tgz(r-4.6-any)supervisedPRIM_2.0.0.tgz(r-4.5-any)
supervisedPRIM_2.0.0.tar.gz(r-4.7-any)supervisedPRIM_2.0.0.tar.gz(r-4.6-any)
supervisedPRIM_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
supervisedPRIM/json (API)

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

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

On CRAN:

Conda:

patient-rules-inductionsupervised-learning

2.70 score 1 stars 5 scripts 245 downloads 2 exports 13 dependencies

Last updated from:e143da991c. Checks:7 WARNING, 1 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develWARNING204
source / vignettesERROR183
linux-releaseWARNING237
macos-releaseWARNING221
macos-oldrelWARNING220
windows-develWARNING83
windows-releaseWARNING127
windows-oldrelWARNING123
wasm-releaseOK113

Exports:predict.supervisedPRIMsupervisedPRIM

Dependencies:clifarvergluelabelinglifecyclemisc3dplot3DprimR6RColorBrewerrlangscalesviridisLite