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:
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