Bayesian computing with INLA !

For more details, click HERE!

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

  • amlgm2016 amlgm2016 was a very sucessful meeting; the program etc can be found here.
    Posted 13 Nov 2016, 03:14 by Havard Rue
  • Comparing marginal likelihood estimates Aliaksandr Hubin and Geir Storvik (University of Oslo), has just  published a report on arxiv comparing  the marginal likelihood estimate from INLA with various other estimates; interesting reading...
    Posted 7 Nov 2016, 09:02 by Havard Rue
  • The WHO report on Ambient air pollution We congratulate Dr. Gavin Shaddick from Univ of Bath, and colleagues,  with all the work with the science behind the new WHO report: Ambient air pollution: A global assessment of ...
    Posted 4 Oct 2016, 23:17 by Havard Rue
  • 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
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