Package: cumulcalib
Title: Cumulative Calibration Assessment for Prediction Models
Version: 0.1.0
Authors@R: 
    person("Mohsen", "Sadatsafavi", , "mohsen.sadatsafavi@ubc.ca", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-0419-7862"))
Description: 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 Petkau (2024)
        <doi:10.1002/sim.10138>. The core of the package is
        cumulcalib(), which takes in vectors of binary responses and
        predicted risks. The package also implements non-parametric
        assessment of the calibration of individualized treatment
        effect (ITE) models using data from a randomized trial, via
        cumulcalibITE(), as described in Sadatsafavi et al. (2025)
        <doi:10.48550/arXiv.2512.08140>. The plot() and summary()
        methods are implemented for the results returned by
        cumulcalib() and cumulcalibITE().
License: MIT + file LICENSE
URL: https://github.com/resplab/cumulcalib
Imports: graphics, stats
Suggests: knitr, predtools, rmarkdown, markdown, spelling, testthat (>=
        3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
Language: en-US
Config/roxygen2/version: 8.0.0
RoxygenNote: 7.3.3
Repository: https://resplab.r-universe.dev
Date/Publication: 2026-07-24 22:37:57 UTC
RemoteUrl: https://github.com/resplab/cumulcalib
RemoteRef: HEAD
RemoteSha: 2c1577819662529b9df219714f73796c98511719
NeedsCompilation: no
Packaged: 2026-07-24 22:46:06 UTC; root
Author: Mohsen Sadatsafavi [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-0419-7862>)
Maintainer: Mohsen Sadatsafavi <mohsen.sadatsafavi@ubc.ca>