Package: predictset
Title: Conformal Prediction and Uncertainty Quantification
Version: 0.3.0
Authors@R: person("Charles", "Coverdale", email = "charlesfcoverdale@gmail.com",
    role = c("aut", "cre", "cph"))
Description: Implements conformal prediction methods for constructing
    prediction intervals (regression) and prediction sets (classification)
    with finite-sample coverage guarantees. Methods include split conformal,
    'CV+' and 'Jackknife+' (Barber et al. 2021) <doi:10.1214/20-AOS1965>,
    'Conformalized Quantile Regression' (Romano et al. 2019)
    <doi:10.48550/arXiv.1905.03222>, 'Adaptive Prediction Sets'
    (Romano, Sesia, Candes 2020) <doi:10.48550/arXiv.2006.02544>,
    'Regularized Adaptive Prediction Sets' (Angelopoulos et al. 2021)
    <doi:10.48550/arXiv.2009.14193>, Mondrian conformal prediction for
    group-conditional coverage (Vovk et al. 2005), weighted conformal
    prediction for covariate shift (Tibshirani et al. 2019), and adaptive
    conformal inference for sequential prediction (Gibbs and Candes 2021).
    All methods are distribution-free and provide calibrated uncertainty
    quantification without parametric assumptions. Works with any model that can
    produce predictions from new data, including 'lm', 'glm', 'ranger',
    'xgboost', and custom user-defined models.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/charlescoverdale/predictset
BugReports: https://github.com/charlescoverdale/predictset/issues
RoxygenNote: 7.3.3
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.0), grDevices, graphics, stats
Suggests: testthat (>= 3.0.0), ranger, ggplot2, knitr, rmarkdown,
        parsnip (>= 1.0.0), probably, rsample, workflows
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-03-14 17:10:13 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre, cph]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-19 14:50:15 UTC
Built: R 4.7.0; ; 2026-04-28 02:13:04 UTC; windows
