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 for approximate Bayesian inference.

Recent posts to the discussion group

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Recent announcements

Recent Announcements

  • Model 'rgeneric' and R-4.0 There is a minor change in the R-internals in R-4.0 that may make rgeneric models crash if the statement (used in the rgeneric vignette), is used,        if ...
    Posted 29 Sep 2020, 09:29 by Havard Rue
  • An INLA-translation of the 2019 homework of Statistical Rethinking: (2nd edition), well done!H
    Posted 23 Sep 2020, 10:12 by Havard Rue
  • Stability issues for Ubuntu 18.04 and 20.04 In the most recent testing version(s) there is a stability issue for Ubuntu when running with nested parallelism and the PARDISO library. It seems like the builds from CentOS ...
    Posted 2 Sep 2020, 12:37 by Havard Rue
  • macOS 10.15 Catalina is now used to build the INLA package for Mac. Let us know if this causes any issues.H
    Posted 13 Jul 2020, 02:02 by Havard Rue
  • Finally, R-4.0 The testing version of today, Version_20.07.09, is built on R-4.0.2. This also includes all alternative binary Linux builds, but they are less affected.  There ...
    Posted 9 Jul 2020, 06:23 by Havard Rue
  • Mercurial -> git && bitbucket -> github We have migrated the repo from bitbucket and mercurial, to github and git. Parts of the build system was also revised, minor parts of the code, but we're still ...
    Posted 4 Jul 2020, 07:35 by Havard Rue
  • Multivariate spatial models for lattice data with INLA A paper on fitting several multivariate spatial models for lattice data with INLA has been published in the arXiv by F. Palmí-Perales et al. The associated R package INLAMSM ...
    Posted 7 May 2020, 00:58 by Virgilio Gomez-Rubio
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