BayesComp web site

Last year the International Society for Bayesian Analysis launched a new section on Bayesian Computing.  The  BayesComp section now has its own “website of information, tools, and advice as an authoritative central resource” at bayescomp.wikidot.com.

If you are not already a member of BayesComp then you should definitely think about joining. See the ISBA web site for more details.

 

Rencontres R, Lyon 27-28 June

Last year, the first French-speaking R conference, “Rencontres R”  was held in Bordeaux.  The meeting was a great success, and a second one will be  held in Lyon on 27 and 28 June 2013.

The abstract submission deadline of 7 April is fast approaching. Three types of presentation are planned for the  meeting:

  • 20 min regular talks,
  • 6 min Lightning Talks,
  • Posters.

To submit an abstract,  follow the instructions on the conference web site.

Posted in R

Course: Statistical Practice in Epidemiology with R

Statistical Practice in Epidemiology with R is a one week course aimed at promoting the use of R among epidemiologists. This annual course has been running almost every year since 2004. This year, the course will take place from 23 to 29 May 2012 at the International Agency for Research on Cancer, in Lyon, France.

For more details about the course, including how to apply, see the SPE home page. The deadline for applications is April 1 2013.

A tutorial on extending JAGS

The JAGS-Wiener module by Dominik Wabersich and Joachim Vandekerckhove extends JAGS by adding the distribution “dweiner” for the the first passage time of a drift diffusion process. As far as I know, this is the first third-party JAGS extension that is distributed as a standalone module [1].  You can download the source code from sourceforge, and for Windows users, there is a binary installer.

Dominik and Joachim have documented the process of putting together the JAGS-Wiener module in a tutorial article, which is now submitted to Behavior Research Methods.  This article fills a much needed gap in the documentation, and will hopefully encourage others interested in extending JAGS to follow suit.

[1] There is also the lossDev package for R, distributed via CRAN, which also includes JAGS extensions. This is a little different as it is tied to the R interface.