bridgesampling
Bridge Sampling for Marginal Likelihoods and Bayes Factors
Provides functions for estimating marginal likelihoods, Bayes factors, posterior model probabilities, and normalizing constants in general, via different versions of bridge sampling (Meng & Wong, 1996, https://www3.stat.sinica.edu.tw/statistica/j6n4/j6n43/j6n43.htm). Gronau, Singmann, & Wagenmakers (2020) doi:10.18637/jss.v092.i10.
- Version1.2-1
- R version≥ 3.0.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- bridgesampling citation info
- Last releaselast Wednesday at 12:00 AM
Documentation
- VignetteHierarchical Normal Example JAGS
- VignetteHierarchical Normal Example Nimble
- VignetteHierarchical Normal Example Stan
- VignetteBayesian One-Sample T-Test Stan
- Vignettebridgesampling: An R Package for Estimating Normalizing Constants (JSS version)
- Vignettebridgesampling: An R Package for Estimating Normalizing Constants (Extended)
- VignetteA Tutorial on Bridge Sampling
- MaterialNEWS
- In ViewsBayesian
Team
Quentin F. Gronau
MaintainerShow author detailsBen Goodrich
Show author detailsRolesContributorPerry de Valpine
Show author detailsRolesContributorAki Vehtari
Show author detailsRolesContributorJonathan J. Forster
Show author detailsRolesContributorGiorgio Micaletto
Show author detailsRolesContributorEric-Jan Wagenmakers
Show author detailsRolesThesis advisorKees Mulder
Show author detailsRolesContributorJonah Gabry
Show author detailsRolesContributorJiqiang Guo
Show author detailsRolesContributorHenrik Singmann
The JASP Team
Show author detailsRolesContributor
Insights
Last 30 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN