Package: bridgesampling 1.1-5

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>.

Authors:Quentin F. Gronau [aut, cre], Henrik Singmann [aut], 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]

bridgesampling_1.1-5.tar.gz
bridgesampling_1.1-5.zip(r-4.5)bridgesampling_1.1-5.zip(r-4.4)bridgesampling_1.1-5.zip(r-4.3)
bridgesampling_1.1-5.tgz(r-4.4-any)bridgesampling_1.1-5.tgz(r-4.3-any)
bridgesampling_1.1-5.tar.gz(r-4.5-noble)bridgesampling_1.1-5.tar.gz(r-4.4-noble)
bridgesampling_1.1-5.tgz(r-4.4-emscripten)bridgesampling_1.1-5.tgz(r-4.3-emscripten)
bridgesampling.pdf |bridgesampling.html
bridgesampling/json (API)
NEWS

# Install 'bridgesampling' in R:
install.packages('bridgesampling', repos = c('https://quentingronau.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/quentingronau/bridgesampling/issues

Datasets:
  • ier - Standardized International Exchange Rate Changes from 1975 to 1986
  • turtles - Turtles Data from Janzen, Tucker, and Paukstis

On CRAN:

6 exports 31 stars 5.24 score 21 dependencies 44 dependents 3 mentions 244 scripts 12.8k downloads

Last updated 1 years agofrom:6793386ffe. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 23 2024
R-4.5-winOKAug 23 2024
R-4.5-linuxOKAug 23 2024
R-4.4-winOKAug 23 2024
R-4.4-macOKAug 23 2024
R-4.3-winOKAug 23 2024
R-4.3-macOKAug 23 2024

Exports:bayes_factorbfbridge_samplererror_measureslogmlpost_prob

Dependencies:BrobdingnagclicodacolorspacefarvergluelabelinglatticelifecyclemagrittrMatrixmunsellmvtnormR6RColorBrewerrlangscalesstringistringrvctrsviridisLite

A Tutorial on Bridge Sampling

Rendered frombridgesampling_tutorial.pdf.asisusingR.rsp::asison Aug 23 2024.

Last update: 2017-03-23
Started: 2017-03-23

Bayesian One-Sample T-Test (Stan)

Rendered frombridgesampling_stan_ttest.Rmdusingknitr::rmarkdownon Aug 23 2024.

Last update: 2018-10-10
Started: 2017-04-25

bridgesampling: An R Package for Estimating Normalizing Constants (Extended)

Rendered frombridgesampling_paper_extended.pdf.asisusingR.rsp::asison Aug 23 2024.

Last update: 2018-10-16
Started: 2018-10-16

bridgesampling: An R Package for Estimating Normalizing Constants (JSS version)

Rendered frombridgesampling_paper.pdf.asisusingR.rsp::asison Aug 23 2024.

Last update: 2018-10-21
Started: 2017-10-18

Hierarchical Normal Example (JAGS)

Rendered frombridgesampling_example_jags.Rmdusingknitr::rmarkdownon Aug 23 2024.

Last update: 2018-08-19
Started: 2017-04-25

Hierarchical Normal Example (nimble)

Rendered frombridgesampling_example_nimble.Rmdusingknitr::rmarkdownon Aug 23 2024.

Last update: 2018-10-10
Started: 2018-08-21

Hierarchical Normal Example (Stan)

Rendered frombridgesampling_example_stan.Rmdusingknitr::rmarkdownon Aug 23 2024.

Last update: 2018-08-19
Started: 2017-04-25

Readme and manuals

Help Manual

Help pageTopics
Bayes Factor(s) from Marginal Likelihoodsbayes_factor bayes_factor.default bf bf.bridge bf.bridge_list bf.default
Log Marginal Likelihood via Bridge Samplingbridge_sampler bridge_sampler.matrix bridge_sampler.mcmc bridge_sampler.mcmc.list bridge_sampler.MCMC_refClass bridge_sampler.rjags bridge_sampler.runjags bridge_sampler.stanfit bridge_sampler.stanreg
Methods for bridge and bridge_list objectsbridge-methods print.bridge print.bridge_list print.summary.bridge print.summary.bridge_list summary.bridge summary.bridge_list
Error Measures for Estimated Marginal Likelihooderror_measures error_measures.bridge error_measures.bridge_list
Standardized International Exchange Rate Changes from 1975 to 1986ier
Log Marginal Likelihoods from Bridge Objectslogml logml.bridge logml.bridge_list
Posterior Model Probabilities from Marginal Likelihoodspost_prob post_prob.bridge post_prob.bridge_list post_prob.default
Turtles Data from Janzen, Tucker, and Paukstis (2000)turtles