Package: conformalbayes
Title: Jackknife(+) Predictive Intervals for Bayesian Models
Version: 0.1.2
Authors@R: 
    person("Cory", "McCartan", , "cmccartan@g.harvard.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
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.1
Config/testthat/edition: 3
VignetteBuilder: knitr
