Functions to compute Bayes factor hypothesis tests for common research designs and hypotheses.
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.
The following methods are currently implemented, with more to follow:
general linear models (including linear mixed effects models):
meta-analytic t tests:
Other useful functions:
posterior, for sampling from posterior
recompute, for re-estimating a Bayes factor or
compare, to compare two model
plot.BFBayesFactor, for plotting Bayes factor
Richard D. Morey and Jeffrey N. Rouder (with contributions from Tahira Jamil)
Maintainer: Richard D. Morey <email@example.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., \& 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
## See specific functions for examples.
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