Bayesian computing with INLA !


(For more pictures from the Northern light show over Trondheim 6th Oct 2015, go here or go north)

This site provides documentation to the R-INLA package which solves a large class of statistical models using the INLA approach.

Here is a short introduction describing the class of models which can be solved using R-INLA.
All models implemented in R-INLA are described in details, moreover a  large series of worked out examples are provided and we hope that this will help the user to gain familiarity with the library. Recent changes in the code can be viewed here.

Recent posts to the discussion group

Google Group

Recent announcements

Recent Announcements

  • A future change for survival models We need to make some backward incomptatible changes for survival models, as several likelihoods might be used in both a regression context and a survival context. Likelihoods that require a ...
    Posted 6 Aug 2016, 09:46 by Havard Rue
  • The Fifth Workshop on Bayesian Inference for Latent Gaussian Models with Applications: 14-16 Sept in Bath, UK The Fifth Workshop on Bayesian Inference for Latent Gaussian Models with Applications, is now announced; go here for details!
    Posted 18 May 2016, 04:44 by Havard Rue
  • An introduction to INLA and SPDE (Valencia 23-28th June 2016) See here for details.
    Posted 6 May 2016, 01:55 by Havard Rue
  • Bayesian Statistics with R-INLA (Zurich, 12-13 May, 2016) For details; see here.******************************************************* Lecturers Prof. Dr. Andrea Riebler, Norwegian University of Science and Technology, Trondheim, Norway Certificate Confirmation of participation Targetaudience Advanced R users from all professional groups ...
    Posted 6 May 2016, 01:51 by Havard Rue
  • Bayesian Computing with INLA: A Review A techreport with the above title have now appeared an Computing with INLA: A ReviewHåvard Rue, Andrea Riebler, Sigrunn H. Sørbye, Janine B. Illian, Daniel P ...
    Posted 11 Apr 2016, 05:19 by Havard Rue
  • Free workshop: R-INLA for latent Gaussian models, Lund April 14-15 A Practical Introduction to Bayesian inference using R-INLA 14-15 April, Lund, Sweden. This FREE 2-days workshop aims to give an introduction to the R package INLA, which ...
    Posted 20 Mar 2016, 09:25 by Havard Rue
  • PhD and PostDoc job offerings: Knowledge based Non-Stationary Modeling As a part of the research project Knowledge based Non-Stationary Modeling, there are two PhD and one PostDoc positions available here at NTNU. The announcements can be found HERE ...
    Posted 22 Feb 2016, 02:30 by Havard Rue
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