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:	0.1.2
Imports:	cli, rstantools, loo, matrixStats
Suggests:	rstanarm, brms, testthat (≥ 3.0.0), ggplot2, knitr, rmarkdown
Published:	2022-08-12
DOI:	10.32614/CRAN.package.conformalbayes
Author:	Cory McCartan [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.com/conformalbayes/
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	conformalbayes results

Documentation:

Reference manual:	conformalbayes.pdf
Vignettes:	conformalbayes

Downloads:

Package source:	conformalbayes_0.1.2.tar.gz
Windows binaries:	r-devel: conformalbayes_0.1.2.zip, r-release: conformalbayes_0.1.2.zip, r-oldrel: conformalbayes_0.1.2.zip
macOS binaries:	r-release (arm64): conformalbayes_0.1.2.tgz, r-oldrel (arm64): conformalbayes_0.1.2.tgz, r-release (x86_64): conformalbayes_0.1.2.tgz, r-oldrel (x86_64): conformalbayes_0.1.2.tgz
Old sources:	conformalbayes archive

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