Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

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>.

Functions (8)

bridgesampling

Bridge Sampling for Marginal Likelihoods and Bayes Factors

v1.1-2
GPL (>= 2)
Authors
Quentin F. Gronau [aut, cre] (<https://orcid.org/0000-0001-5510-6943>), Henrik Singmann [aut] (<https://orcid.org/0000-0002-4842-3657>), Jonathan J. Forster [ctb], Eric-Jan Wagenmakers [ths], The JASP Team [ctb], Jiqiang Guo [ctb], Jonah Gabry [ctb], Ben Goodrich [ctb], Kees Mulder [ctb], Perry de Valpine [ctb]
Initial release

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.