doi:10.1002/sim.10138>. The core of the package is cumulcalib(), which takes in vectors of binary responses and predicted risks. The plot() and summary() methods are implemented for the results returned by cumulcalib().">

cumulcalib: Cumulative Calibration Assessment for Prediction Models (original) (raw)

Tools for visualization of, and inference on, the calibration of prediction models on the cumulative domain. This provides a method for evaluating calibration of risk prediction models without having to group the data or use tuning parameters (e.g., loess bandwidth). This package implements the methodology described in Sadatsafavi and Patkau (2024) <doi:10.1002/sim.10138>. The core of the package is cumulcalib(), which takes in vectors of binary responses and predicted risks. The plot() and summary() methods are implemented for the results returned by cumulcalib().

Version: 0.0.1
Imports: graphics, stats
Suggests: knitr, predtools, rmarkdown, markdown, spelling, testthat (≥ 3.0.0)
Published: 2024-06-13
DOI: 10.32614/CRAN.package.cumulcalib
Author: Mohsen SadatsafaviORCID iD [aut, cre]
Maintainer: Mohsen Sadatsafavi <mohsen.sadatsafavi at ubc.ca>
License: MIT + file
URL: https://github.com/resplab/cumulcalib
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
CRAN checks: cumulcalib results

Documentation:

Downloads:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=cumulcalibto link to this page.