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The goal of bayesplay is to provide an interface for calculating Bayesfactors for simple models. It does this in a way that makes thecalculations moretransparent and it is therefore useful as a teachingtools.

bayesplay is now on CRAN. You can install it with:

install.packages("bayesplay")

Or if you want to live on the edge, you can install the developmentversion fromGitHub with:

# install.packages("devtools")devtools::install_github("bayesplay/bayesplay")

Thebayesplay package comes with three basic functions for computingBayes factors.

1. Thelikelihood() function for specifying likelihoods

2. Theprior() function for specifying priors

3. And theintegral() function

Currently the following distributions are supported for likelihoods andpriors

1. Normal distribution (normal)

2. Uniform distribution (uniform)

3. Scaled and shiftedt distribution (student_t)

4. Cauchy distributions (cauchy)

5. Beta distribution (beta)

1. Normal distribution (normal)

2. Scaled and shiftedt distribution (student_t)

3. Binomial distribution (binomial)

4. Various noncentralt distributions, including:

   • Noncentralt distribution (noncentral_t)

   • Noncentralt distribution scaled for a paired samples/one sampleCohen’sd (noncentral_d)

   • Noncentralt distribution scaled for an independent samplesCohen’sd (noncentral_d2)

For worked examples of the basic usage seebasicusage. Orfor basic plot functionality seebasicplotting