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.
Workshop in Trondheim May 2012: The Second Workshop on Bayesian Inference for Latent Gaussian Models with Applications
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.
Workshop in Trondheim May 2012: The Second Workshop on Bayesian Inference for Latent Gaussian Models with Applications