CoryMcCartan/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>.

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version0.1.2
URL https://github.com/CoryMcCartan/conformalbayes https://corymccartan.com/conformalbayes/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("CoryMcCartan/conformalbayes")
CoryMcCartan/conformalbayes documentation built on Nov. 3, 2024, 12:46 a.m.