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
Documentation
Team
Cory McCartan
MaintainerShow author details
Insights
Last 30 days
This package has been downloaded 255 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 8 times.
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Last 365 days
This package has been downloaded 3,245 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 11, 2024 with 29 downloads.
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Dependencies
- Imports4 packages
- Suggests6 packages