Package: CatPredi 2.0
Irantzu Barrio
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>.
Authors:
CatPredi_2.0.tar.gz
CatPredi_2.0.tar.gz(r-4.7-any)CatPredi_2.0.tar.gz(r-4.6-any)
CatPredi_2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CatPredi/json (API)
| # Install 'CatPredi' in R: |
| install.packages('CatPredi', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:04fc367288. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 133 | ||
| source / vignettes | OK | 179 | ||
| linux-release-x86_64 | OK | 140 | ||
| wasm-release | OK | 134 |
Exports:catpredicatpredi.survivalcomp.cutpointscomp.cutpoints.survivalcompare.AUC.htcontrolcatpredicontrolcatpredi.survival
Dependencies:backportsbase64encbslibcachemcheckmatecliclustercodetoolscolorspaceCPEcpp11data.tabledigestdoParallelevaluatefarverfastmapfontawesomeforeachforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmemoisemgcvmimemultcompmvtnormnlmennetpolsplinequantregR6rappdirsRColorBrewerrgenoudrlangrmarkdownrmsrpartrstudioapiS7sandwichsassscalesSparseMstringistringrsurvivalTH.datatinytexvctrsviridisLitewithrxfunyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Function to obtain optimal cut points to categorise a continuous predictor variable in a logistic regression model | catpredi |
| Function to obtain optimal cut points to categorise a continuous predictor variable in a Cox proportional hazards regression model | catpredi.survival |
| Selection of optimal number of cut points | comp.cutpoints |
| Selection of optimal number of cut points | comp.cutpoints.survival |
| A bootstrap-based hypothesis test to select the best number of categories for a continuous predictor variable in a logistic regression model | compare.AUC.ht |
| Control function | controlcatpredi |
| Control function | controlcatpredi.survival |
| Plot the optimal cut points. | plot.catpredi |
| Plot the optimal cut points. | plot.catpredi.survival |
| Summary method for catpredi objects | summary.catpredi |
| Summary method for objects of class "catpredi.survival" | summary.catpredi.survival |
