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, http://www3.stat.sinica.edu.tw/statistica/j6n4/j6n43/j6n43.htm). Gronau, Singmann, & Wagenmakers (2020) doi:10.18637/jss.v092.i10.
- Version1.1-2
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- bridgesampling citation info
- Last release04/16/2021
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
Henrik Singmann
Show author detailsRolesAuthorBen Goodrich
Show author detailsRolesContributorJonah Gabry
Show author detailsRolesContributorPerry de Valpine
Show author detailsRolesContributorJiqiang Guo
Show author detailsRolesContributorEric-Jan Wagenmakers
Jonathan J. Forster
Show author detailsRolesContributorThe JASP Team
Show author detailsRolesContributorKees Mulder
Show author detailsRolesContributor
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- Imports6 packages
- Suggests14 packages
- Reverse Imports10 packages
- Reverse Suggests3 packages