Evaluating Multinomial Order Restrictions with Bridge Sampling R package multibridge version 1.3.0 Evaluate hypotheses concerning the distribution of multinomial proportions using bridge sampling. The bridge sampling routine is able to compute Bayes factors for hypotheses that entail inequality constraints, equality constraints, free parameters, and mixtures of all three. These hypotheses are tested against the encompassing hypothesis, that all parameters vary freely or against the null hypothesis that all category proportions are equal. For more information see Sarafoglou et al. (2020) <doi:10.31234/osf.io/bux7p>. Software Depends: R (>= 3.5.0) Imports: Brobdingnag, coda, mvtnorm, purrr, Rcpp (>= 0.12.17), magrittr, progress, Rdpack, stringr LinkingTo: Rcpp Suggests: knitr, rmarkdown, testthat Alexandra Sarafoglou <alexandra.sarafoglou@gmail.com> Comprehensive R Archive Network (CRAN) Alexandra Sarafoglou [aut, cre] (ORCID: <https://orcid.org/0000-0003-0031-685X>), Frederik Aust [aut] (ORCID: <https://orcid.org/0000-0003-4900-788X>), Julia M. Haaf [aut] (ORCID: <https://orcid.org/0000-0001-5122-706X>), Joris Goosen [aut], Quentin F. Gronau [aut], Maarten Marsman [aut] (ORCID: <https://orcid.org/0000-0001-5309-7502>) GPL-2 2025-12-03 application/tgz https://CRAN.R-project.org/package=multibridge doi:10.32614/CRAN.package.multibridge