Jackknife(+) Predictive Intervals for Bayesian Models R package conformalbayes version 0.1.4 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>. Software Imports: cli, rstantools, loo, matrixStats Suggests: rstanarm, brms, testthat (>= 3.0.0), ggplot2, knitr, rmarkdown Cory McCartan <mccartan@psu.edu> Comprehensive R Archive Network (CRAN) Cory McCartan [aut, cre] (ORCID: <https://orcid.org/0000-0002-6251-669X>) MIT + file LICENSE (https://CRAN.R-project.org/package=conformalbayes/LICENSE) 2025-07-25 application/tgz https://CRAN.R-project.org/package=conformalbayes doi:10.32614/CRAN.package.conformalbayes