BayesFactor-package | R Documentation |

This package contains function to compute Bayes factors for a number of research designs and hypotheses, including t tests, ANOVA, and linear regression, correlations, proportions, and contingency tables.

Package: | BayesFactor |

Type: | Package |

Version: | 0.9.12-4.7 |

Date: | 2024-01-23 |

License: | GPL 2.0 |

LazyLoad: | yes |

The following methods are currently implemented, with more to follow:

general linear models (including linear mixed effects models): `generalTestBF`

, `lmBF`

linear regression: `regressionBF`

, `lmBF`

,
`linearReg.R2stat`

;

linear correlation: `correlationBF`

;

t tests: `ttestBF`

, `ttest.tstat`

;

meta-analytic t tests: `meta.ttestBF`

ANOVA: `anovaBF`

, `lmBF`

, `oneWayAOV.Fstat`

;

contingency tables: `contingencyTableBF`

;

single proportions: `proportionBF`

;

linear correlations: `correlationBF`

;

Other useful functions: `posterior`

, for sampling from posterior
distributions; `recompute`

, for re-estimating a Bayes factor or
posterior distribution; `compare`

, to compare two model
posteriors; and `plot.BFBayesFactor`

, for plotting Bayes factor
objects.

Richard D. Morey and Jeffrey N. Rouder (with contributions from Tahira Jamil)

Maintainer: Richard D. Morey <richarddmorey@gmail.com>

Liang, F. and Paulo, R. and Molina, G. and Clyde, M. A. and Berger, J. O. (2008). Mixtures of g-priors for Bayesian Variable Selection. Journal of the American Statistical Association, 103, pp. 410-423

Rouder, J. N., Speckman, P. L., Sun, D., Morey, R. D., and Iverson, G. (2009). Bayesian t-tests for accepting and rejecting the null hypothesis. Psychonomic Bulletin & Review, 16, 225-237

Rouder, J. N., Morey, R. D., Speckman, P. L., Province, J. M., (2012) Default Bayes Factors for ANOVA Designs. Journal of Mathematical Psychology. 56. p. 356-374.

```
## See specific functions for examples.
```

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