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multibridge: Evaluating Multinomial Order Restrictions with Bridge Sampling (original) (raw)

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>.

Version: 1.2.0
Depends: R (≥ 3.5.0)
Imports: Brobdingnag, coda, mvtnorm, purrr, Rcpp (≥ 0.12.17), magrittr, progress, Rdpack, stringr
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat
Published: 2022-11-01
DOI: 10.32614/CRAN.package.multibridge
Author: Alexandra SarafoglouORCID iD [aut, cre], Frederik Aust ORCID iD [aut], Julia M. Haaf ORCID iD [aut], Joris Goosen [aut], Quentin F. Gronau [aut], Maarten Marsman ORCID iD [aut]
Maintainer: Alexandra Sarafoglou <alexandra.sarafoglou at gmail.com>
BugReports: https://github.com/asarafoglou/multibridge/issues
License: GPL-2
URL: https://github.com/asarafoglou/multibridge/
NeedsCompilation: yes
SystemRequirements: GNU make, mpfr (>= 3.0.0), gmp (>= 6.2.1_1)
Citation: multibridge citation info
Materials: README NEWS
CRAN checks: multibridge results

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