BayesFactor (version 0.9.1)

BayesFactor-package: Functions to compute Bayes factor hypothesis tests for common research designs and hypotheses.

Description

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

Details

ll{ Package: BayesFactor Type: Package Version: 0.9.10-2 Date: 2015-2-9 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;

t tests: ttestBF, ttest.tstat;

meta-analytic t tests: meta.ttestBF

ANOVA: anovaBF, lmBF, oneWayAOV.Fstat;

contingency tables: contingencyTableBF;

single proportions: proportionBF;

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.

References

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., & 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.

Perception and Cognition Lab (University of Missouri): Bayes factor calculators. http://pcl.missouri.edu/bayesfactor

Examples

## See specific functions for examples.