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BayesFactor: 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.

Version: 0.9.12-4.7
Depends: R (≥ 3.2.0), coda, Matrix (≥ 1.1-1)
Imports: pbapply, mvtnorm, stringr, utils, graphics, MatrixModels, Rcpp (≥ 0.11.2), methods, hypergeo
LinkingTo: Rcpp (≥ 0.11.2), RcppEigen (≥ 0.3.2.2.0)
Suggests: doMC, foreach, testthat, knitr, markdown, rmarkdown, arm, lme4, xtable, languageR
Published: 2024-01-24
DOI: 10.32614/CRAN.package.BayesFactor
Author: 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]
Maintainer: Richard D. Morey <richarddmorey at gmail.com>
BugReports: https://github.com/richarddmorey/BayesFactor/issues
License: GPL-2
URL: https://richarddmorey.github.io/BayesFactor/
NeedsCompilation: yes
Materials: NEWS
In views: Bayesian
CRAN checks: BayesFactor results

Documentation:

Reference manual: BayesFactor.pdf
Vignettes: User's manual
Demos and comparisons
Vignette menu
Odds and probabilities
Prior checks

Downloads:

Package source: BayesFactor_0.9.12-4.7.tar.gz
Windows binaries: r-devel: BayesFactor_0.9.12-4.7.zip, r-release: BayesFactor_0.9.12-4.7.zip, r-oldrel: BayesFactor_0.9.12-4.7.zip
macOS binaries: r-release (arm64): BayesFactor_0.9.12-4.7.tgz, r-oldrel (arm64): BayesFactor_0.9.12-4.7.tgz, r-release (x86_64): BayesFactor_0.9.12-4.7.tgz, r-oldrel (x86_64): BayesFactor_0.9.12-4.7.tgz
Old sources: BayesFactor archive

Reverse dependencies:

Reverse depends: fixedpointproperty, statsr, yarrr
Reverse imports: adventr, AovBay, bspcov, CGPfunctions, clinicalsignificance, condir, DFA.CANCOR, jmv, JustifyAlpha, multifear, neatStats, quid, statsExpressions
Reverse suggests: bayestestR, BayesTools, bridgesampling, bruceR, cocoon, correlation, effectsize, fbst, ggstatsplot, insight, papaja, parameters, performance, report, tidystats

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BayesFactor to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.