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.
- Version0.1.2
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release08/12/2022
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Team
Cory McCartan
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- Imports4 packages
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