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CatPredi

2.0Package record

Optimal Categorisation of Continuous Variables in Prediction Models

0packages depend
1.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 1.7 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK9 OK2026-05-09
Advisories

none known

Documentation

In release 2.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
11
Examples that run
100%9 run in a plain check
Exported functions with examples
71%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
100%

Downloads

1.6K
CRAN downloads in the past year
Rank #14,269 · ~4/day · ~132/mo
Daily download trend is not available in this view yet.
31430 days
82190 days
1.6K1 year
Compare downloads with other packages →
Also on127 r2u12 autocran

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing CatPredi adds 66 packages (34 with compiled code, 67 MB of source tarballs). Heaviest: stringi 11 MB, TH.data 8.2 MB, ggplot2 6.0 MB.

Depends (0)
none
Imports (10)
CPEdoParallelforeachggplot2graphicsmgcvrgenoudrmsstatssurvival
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (4)
Author, Maintainer since 1.1 (2017)
Contributor · added in 1.4
Releases (5)

Pick two releases to compare their code metrics.

  • unarchivedReturned to CRAN
    2026-05-08
  • 2.0Latest
    record
    2026-05-08 · current release · diff ↗ ·
    removed 4 exports
    plot.catpredi.survival, summary.catpredi.survival, plot.catpredi, summary.catpredi
  • R
    R 4.6.0 released · 2026-04-24
  • archivedRemoved from CRAN
    2025-11-13
    check issues were not corrected in time
  • 1.4
    record
    2025-10-30 · diff ↗ ·
    added 1 export
    compare.AUC.ht
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • unarchivedReturned to CRAN
    2022-01-10
  • 1.3
    record
    2022-01-10 · diff ↗
  • archivedRemoved from CRAN
    2021-11-06
    requires archived package 'CPE'
  • unarchivedReturned to CRAN
    2021-09-30
  • 1.2
    record
    2021-09-30 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • archivedRemoved from CRAN
    2021-04-03
    check problems were not corrected in time
Show 5 earlier eventsHide 5 earlier events
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 1.1
    record
    2017-10-09
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-10-09
Total releases
5 / 9 yrs
License
GPL (>= 3) OSI
Download size
25 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CatPredi")
Irantzu Barrio, Diana Marcela Perez, Inmaculada Arostegui, & Maria Xose Rodriguez-Alvarez. (2026). CatPredi: Optimal Categorisation of Continuous Variables in Prediction Models (Version 2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.CatPredi

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for CatPredi version 2.0 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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