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: 1.3
Imports: survival, rms, rgenoud, mgcv, stats, graphics
Published: 2022-01-10
Author: Irantzu Barrio [aut, cre], Maria Xose Rodriguez-Alvarez [aut], Inmaculada Arostegui [ctb]
Maintainer: Irantzu Barrio <irantzu.barrio at ehu.eus>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: CatPredi results

Documentation:

Reference manual: CatPredi.pdf

Downloads:

Package source: CatPredi_1.3.tar.gz
Windows binaries: r-devel: CatPredi_1.3.zip, r-release: CatPredi_1.3.zip, r-oldrel: CatPredi_1.3.zip
macOS binaries: r-release (arm64): CatPredi_1.3.tgz, r-release (x86_64): CatPredi_1.3.tgz, r-oldrel: CatPredi_1.3.tgz
Old sources: CatPredi archive

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