CatPredi: Optimal Categorisation of Continuous Variables in Prediction Models

Allows the user to categorise a continuous predictor variable in a logistic or a Cox proportional hazards regression setting, by maximising the discriminative ability of the model. I Barrio, I Arostegui, MX Rodriguez-Alvarez, JM Quintana (2015) <doi:10.1177/0962280215601873>. I Barrio, MX Rodriguez-Alvarez, L Meira-Machado, C Esteban, I Arostegui (2017) <https://www.idescat.cat/sort/sort411/41.1.3.barrio-etal.pdf>.

Version: 2.0
Imports: CPE, doParallel, foreach, ggplot2, graphics, mgcv, rgenoud, rms, stats, survival
Published: 2026-05-08
DOI: 10.32614/CRAN.package.CatPredi
Author: Irantzu Barrio [aut, cre], Maria Xose Rodriguez-Alvarez [aut], Inmaculada Arostegui [ctb], Diana Marcela Perez [ctb]
Maintainer: Irantzu Barrio <irantzu.barrio at ehu.eus>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: CatPredi results

Documentation:

Reference manual: CatPredi.html , CatPredi.pdf

Downloads:

Package source: CatPredi_2.0.tar.gz
Windows binaries: r-devel: CatPredi_2.0.zip, r-release: not available, r-oldrel: CatPredi_2.0.zip
macOS binaries: r-release (arm64): CatPredi_2.0.tgz, r-oldrel (arm64): CatPredi_2.0.tgz, r-release (x86_64): CatPredi_2.0.tgz, r-oldrel (x86_64): CatPredi_2.0.tgz
Old sources: CatPredi archive

Linking:

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