Bayesian computing with INLA !

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

  • Some changes in the R-INLA package There are some changes in the testing version of the R-INLA package from version 'INLA_17.10.18', that requires an official announcement1.  The `internal separator' for sections ...
    Posted 18 Oct 2017, 04:39 by Havard Rue
  • Fractional Gaussian Noise models, are now available! Due to new results, we have added support for FGN models in R-INLA. The report is here H
    Posted 28 Sep 2017, 00:00 by Havard Rue
  • Want to do a PhD? I have an open spot in my research group ,  with application deadline 15th Oct.  It is well funded. Please contact me to discuss options.Håvard Rue
    Posted 28 Sep 2017, 00:04 by Havard Rue
  • Changes in the build and web-hosting of R-INLA We are migrating away from and have created a new domain to host the prebuildt packages;    inla.r-inla-download.orgwhich will also keep ...
    Posted 21 May 2017, 03:07 by Havard Rue
  • N-Mixture models N-Mixture likelihoods are finally available in the testing version, both Binomial-Poisson, and Binomial-NegBinomial. There is a report about this including R-code, which is available here
    Posted 5 May 2017, 04:19 by Havard Rue
  • PhD in Tromsø? Here is a new option for doing a R-INLA related PhD in Tromsø,Announcement
    Posted 7 Apr 2017, 22:56 by Havard Rue
  • INLA course in Lavras, Brasil In July 24-28 during the 62 RBRAS and 17 SEAGRO. Details here
    Posted 1 Mar 2017, 19:01 by Elias Krainski
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