Computation of Bayes Factors for Common Designs

A suite of functions for computing various Bayes factors for simple designs, including contingency tables, one- and two-sample designs, one-way designs, general ANOVA designs, and linear regression.


Reference manual

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install.packages("BayesFactor")

0.9.12-4.8 by Richard D. Morey, 7 months ago


https://richarddmorey.github.io/BayesFactor/


Report a bug at https://github.com/richarddmorey/BayesFactor/issues


Browse source code at https://github.com/cran/BayesFactor


Authors: Richard D. Morey [aut, cre, cph] , Jeffrey N. Rouder [aut] , Tahira Jamil [ctb, cph] , Simon Urbanek [ctb, cph] , Karl Forner [ctb, cph] , Alexander Ly [ctb, cph]


Documentation:   PDF Manual  


GPL-2 license


Imports pbapply, mvtnorm, stringr, utils, graphics, MatrixModels, Rcpp, methods, hypergeo

Depends on coda, Matrix

Suggests doMC, foreach, testthat, knitr, markdown, rmarkdown, arm, lme4, xtable, languageR

Linking to Rcpp, RcppEigen


Imported by AovBay, DFA.CANCOR, JustifyAlpha, SIMPLE.REGRESSION, adventr, bspcov, clinicalsignificance, condir, jmv, multifear, quid, statsExpressions.

Depended on by statsr, yarrr.

Suggested by BayesTools, FES, alphaN, bayestestR, bridgesampling, bruceR, cocoon, colleyRstats, correlation, effectsize, fbst, ggstatsplot, insight, papaja, parameters, performance, report, tidystats.


See at CRAN