Optimal Categorisation of Continuous Variables in Prediction Models R package CatPredi version 2.0 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>. Software Imports: CPE, doParallel, foreach, ggplot2, graphics, mgcv, rgenoud, rms, stats, survival Irantzu Barrio <irantzu.barrio@ehu.eus> Comprehensive R Archive Network (CRAN) Irantzu Barrio [aut, cre], Maria Xose Rodriguez-Alvarez [aut], Inmaculada Arostegui [ctb], Diana Marcela Perez [ctb] GPL (>= 3) 2026-05-08 application/tgz https://CRAN.R-project.org/package=CatPredi doi:10.32614/CRAN.package.CatPredi