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CatPredi

Optimal Categorisation of Continuous Variables in Prediction Models

v2.0 · May 8, 2026 · GPL (>= 3)

Description

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>.

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r-devel-linux-x86_64-debian-gcc OK
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Check History

OK 13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 9, 2026
ERROR 12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Jun 8, 2026
ERROR r-devel-linux-x86_64-debian-gcc

package dependencies

Packages required but not available: 'CPE', 'rms'

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
OK 9 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE May 9, 2026

Dependency Network

Dependencies Reverse dependencies CPE doParallel foreach ggplot2 mgcv rgenoud rms survival CatPredi

Version History

5 tracked
new 2.0 May 8, 2026
update 1.4 ← 1.3 diff Oct 29, 2025
update 1.3 ← 1.2 diff Jan 9, 2022
update 1.2 ← 1.1 diff Sep 29, 2021
new 1.1 Oct 8, 2017