BayesFactor-package: Functions to compute Bayes factor hypothesis tests for common...
In BayesFactor: Computation of Bayes factors for common designs

Description Details Author(s) References See Also Examples

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

Package:	BayesFactor
Type:	Package
Version:	0.9.5
Date:	2013-3-20
License:	GPL 2.0
LazyLoad:	yes

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

Linear regression: regressionBF lmBF, linearReg.R2stat;

t test: ttestBF, ttest.tstat;

ANOVA: anovaBF, lmBF, oneWayAOV.Fstat;

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

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., \& Iverson, G. (2009). Bayesian t-tests for accepting and rejecting the null hypothesis. Psychonomic Bulletin & Review, 16, 752-760

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

BAS

1	## See specific functions for examples.

Loading required package: coda
Loading required package: Matrix
************
Welcome to BayesFactor 0.9.12-2. If you have questions, please contact Richard Morey (richarddmorey@gmail.com).

Type BFManual() to open the manual.
************