conformalbayes: Jackknife(+) Predictive Intervals for Bayesian Models

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>.

Version: 0.1.0
Imports: cli, rstantools, loo, matrixStats
Suggests: rstanarm, brms, testthat (≥ 3.0.0), ggplot2, knitr, rmarkdown
Published: 2022-03-10
Author: Cory McCartan ORCID iD [aut, cre]
Maintainer: Cory McCartan <cmccartan at g.harvard.edu>
BugReports: https://github.com/CoryMcCartan/conformalbayes/issues
License: MIT + file LICENSE
URL: https://github.com/CoryMcCartan/conformalbayes, https://corymccartan.github.io/conformalbayes/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: conformalbayes results

Documentation:

Reference manual: conformalbayes.pdf
Vignettes: conformalbayes

Downloads:

Package source: conformalbayes_0.1.0.tar.gz
Windows binaries: r-devel: conformalbayes_0.1.0.zip, r-release: conformalbayes_0.1.0.zip, r-oldrel: conformalbayes_0.1.0.zip
macOS binaries: r-release (arm64): conformalbayes_0.1.0.tgz, r-oldrel (arm64): conformalbayes_0.1.0.tgz, r-release (x86_64): conformalbayes_0.1.0.tgz, r-oldrel (x86_64): conformalbayes_0.1.0.tgz

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