% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/BayesFactorPCL-package.R
\docType{package}
\name{BayesFactor-package}
\alias{BayesFactor-package}
\alias{BayesFactor}
\title{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, correlations, proportions, and contingency tables.
}
\details{
\tabular{ll}{ Package: \tab BayesFactor\cr Type: \tab Package\cr Version: \tab
0.9.12-4.5\cr Date: \tab 2023-09-21\cr License: \tab GPL 2.0\cr LazyLoad: \tab
yes\cr } The following methods are currently implemented, with more to follow:

general linear models (including linear mixed effects models): \code{\link{generalTestBF}}, \code{\link{lmBF}}

linear regression: \code{\link{regressionBF}}, \code{\link{lmBF}},
\code{\link{linearReg.R2stat}};

linear correlation: \code{\link{correlationBF}};

t tests: \code{\link{ttestBF}}, \code{\link{ttest.tstat}};

meta-analytic t tests: \code{\link{meta.ttestBF}}

ANOVA: \code{\link{anovaBF}}, \code{\link{lmBF}}, \code{\link{oneWayAOV.Fstat}};

contingency tables: \code{\link{contingencyTableBF}};

single proportions: \code{\link{proportionBF}};

linear correlations: \code{\link{correlationBF}};

Other useful functions: \code{\link{posterior}}, for sampling from posterior
distributions; \code{\link{recompute}}, for re-estimating a Bayes factor or
posterior distribution; \code{\link{compare}}, to compare two model
posteriors; and \code{\link{plot.BFBayesFactor}}, for plotting Bayes factor
objects.
}
\examples{

## See specific functions for examples.

}
\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., 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.
}
\author{
Richard D. Morey and Jeffrey N. Rouder (with contributions from Tahira Jamil)

 Maintainer: Richard D. Morey <richarddmorey@gmail.com>
}
\keyword{htest}
