BayesFactor update: 0.9.7.

BayesFactor version 0.9.7 has been released to CRAN. It does have a few bug fixes, so update soon. A list of changes can be found in the NEWS file.

Bayes factor t tests, part 2: Two-sample tests

In the previous post, I introduced the logic of Bayes factors for one-sample designs by means of a simple example. In this post, I will give more detail about the models and assumptions used by the BayesFactor package, and also how to do simple analyses of two- sample designs.
See the previous posts for background:

• What is a Bayes factor?
• Bayes factor t tests, part 1

This article will cover two-sample t tests.

Bayes factor t tests, part 1

In my first post, I described the general logic of Bayes factors. I will continue discussing the general logic of Bayes factor, while introducing some of the basic functionality of the BayesFactor package.

What is a Bayes factor?

The BayesFactor package

This blog is a companion to the BayesFactor package in R (website), which supports inference by Bayes factors in common research designs. Bayes factors have been proposed as more principled replacements for common classical statistical procedures such as \(p\) values; this blog will offer tutorials in using the package for data analysis.
In this first post, I describe the general logic of Bayes factors using a very simple research example. In the coming posts, I will show how to do a more complete Bayesian data analysis using the R package.