bridgesampling: Bridge Sampling for Marginal Likelihoods and Bayes Factors

Canonical link: https://rscholar.com/pkg/bridgesampling

Quentin F. Gronau • Henrik Singmann • Jonathan J. Forster • Eric-Jan Wagenmakers • The JASP Team • Jiqiang Guo • Jonah Gabry • Ben Goodrich • Kees Mulder • Perry de Valpine • View description and downloads View dependencies GitHub project

2017 Published

1.1-2 Version

0 Citations

10 Authors

Referenced by ⇅	Year
brms: Bayesian Regression Models using 'Stan' (Version 2.22.0)	2015
BAMBI: Bivariate Angular Mixture Models (Version 2.3.6)	2017
BayesTools: Tools for Bayesian Analyses (Version 0.2.17)	2021
BayesianTools: General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics (Version 0.1.8)	2017
RoBTT: Robust Bayesian T-Test (Version 1.3.1)	2022
StanMoMo: Bayesian Mortality Modelling with 'Stan' (Version 1.2.0)	2021
bayesforecast: Bayesian Time Series Modeling with Stan (Version 1.0.1)	2021
bayestestR: Understand and Describe Bayesian Models and Posterior Distributions (Version 0.15.0)	2019
bmscstan: Bayesian Multilevel Single Case Models using 'Stan' (Version 1.2.1.0)	2020
hdbayes: Bayesian Analysis of Generalized Linear Models with Historical Data (Version 0.1.1)	2024
hwep: Hardy-Weinberg Equilibrium in Polyploids (Version 2.0.2)	2021
lorad: Lowest Radial Distance Method of Marginal Likelihood Estimation (Version 0.0.1.0)	2023
metaBMA: Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis (Version 0.6.9)	2017

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.