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>.
Package details |
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Maintainer | |
License | MIT + file LICENSE |
Version | 0.1.2 |
URL | https://github.com/CoryMcCartan/conformalbayes https://corymccartan.com/conformalbayes/ |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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