**Statistical Modeling, Causal Inference, and Social Science » R**, and kindly contributed to R-bloggers)

Richard Morey writes:

You and your blog readers may be interested to know that a we’ve released a major new version of the BayesFactor package to CRAN. The package computes Bayes factors for linear mixed models and regression models. Of course, I’m aware you don’t like point-null model comparisons, but the package does more than that; it also allows sampling from posterior distributions of the compared models, in much the same way that your arm package does with lmer objects. The sampling (both for the Bayes factors and posteriors) is quite fast, since the back end is written in C.

Some basic examples using the package can be found here, and the CRAN page is here.

Indeed I don’t like point-null model comparisons . . . but maybe this will be useful to some of you!

The post R package for Bayes factors appeared first on Statistical Modeling, Causal Inference, and Social Science.

**leave a comment**for the author, please follow the link and comment on his blog:

**Statistical Modeling, Causal Inference, and Social Science » R**.

R-bloggers.com offers

**daily e-mail updates**about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...