Package: multibridge 1.2.0
multibridge: Evaluating Multinomial Order Restrictions with Bridge Sampling
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>.
Authors:
multibridge_1.2.0.tar.gz
multibridge_1.2.0.tar.gz(r-4.5-noble)multibridge_1.2.0.tar.gz(r-4.4-noble)
multibridge_1.2.0.tgz(r-4.4-emscripten)multibridge_1.2.0.tgz(r-4.3-emscripten)
multibridge.pdf |multibridge.html✨
multibridge/json (API)
NEWS
# Install 'multibridge' in R: |
install.packages('multibridge', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/asarafoglou/multibridge/issues
- journals - Prevalence of Statistical Reporting Errors
- lifestresses - Memory of Life Stresses
- peas - Mendelian Laws of Inheritance
Last updated 2 years agofrom:f253a47941. Checks:OK: 1 NOTE: 1. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 30 2024 |
R-4.5-linux-x86_64 | NOTE | Dec 30 2024 |
Exports:bayes_factorbinom_bf_equalitybinom_bf_inequalitybinom_bf_informedbinom_tsamplingbridge_outputgenerate_restriction_listmult_bf_equalitymult_bf_inequalitymult_bf_informedmult_tsamplingrestriction_listsamplestbinom_backtranstbinom_transtdir_backtranstdir_trans
Dependencies:BrobdingnagclicodacrayongluehmslatticelifecyclemagrittrMatrixmvtnormpkgconfigprettyunitsprogresspurrrR6rbibutilsRcppRdpackrlangstringistringrvctrs
Memory of Lifestresses
Rendered fromMemoryOfLifestresses.Rmd
usingknitr::rmarkdown
on Dec 30 2024.Last update: 2021-01-25
Started: 2021-01-25
Mendelian Laws of Inheritance
Rendered fromMendelianLawsOfInheritance.Rmd
usingknitr::rmarkdown
on Dec 30 2024.Last update: 2021-01-25
Started: 2021-01-25
Prevalence of Statistical Reporting Errors
Rendered fromPrevalenceOfStatisticalReportingErrors.Rmd
usingknitr::rmarkdown
on Dec 30 2024.Last update: 2021-01-25
Started: 2021-01-25