Package: conformalbayes
Title: Jackknife(+) Predictive Intervals for Bayesian Models
Version: 0.1.4
Authors@R: 
    person("Cory", "McCartan", , "mccartan@psu.edu", role = c("aut", "cre"),
           comment = c(ORCID = "https://orcid.org/0000-0002-6251-669X"))
Description: Provides functions to construct finite-sample calibrated predictive 
    intervals for Bayesian models, following the approach in Barber et al. 
    (2021) <doi:10.1214/20-AOS1965>. These intervals are calculated efficiently
    using importance sampling for the leave-one-out residuals. By default,
    the intervals will also reflect the relative uncertainty in the Bayesian 
    model, using the locally-weighted conformal methods of Lei et al. (2018)
    <doi:10.1080/01621459.2017.1307116>.
Imports: cli, rstantools, loo, matrixStats
Suggests: rstanarm, brms, testthat (>= 3.0.0), ggplot2, knitr,
        rmarkdown
License: MIT + file LICENSE
URL: https://github.com/CoryMcCartan/conformalbayes,
        https://corymccartan.com/conformalbayes/
BugReports: https://github.com/CoryMcCartan/conformalbayes/issues
Encoding: UTF-8
RoxygenNote: 7.3.2
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-25 04:06:42 UTC; cmccartan
Author: Cory McCartan [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-6251-669X>)
Maintainer: Cory McCartan <mccartan@psu.edu>
Repository: CRAN
Date/Publication: 2025-07-25 07:50:02 UTC
Built: R 4.6.0; ; 2026-04-29 01:02:50 UTC; unix
