R-INLA Project
R-INLA is a package in R that do approximate Bayesian inference for Latent Gaussian Models. This site is dedicated to that package and methodological developments that goes along with it.
R-INLA Project - Download & Install
Download & Install To install the INLA-package in R, you have to manually add the r-inla repository as we are not on CRAN. The source code for this project is hosted on github
R-INLA Project - What is INLA?
What is INLA? The integrated nested Laplace approximation (INLA) is a method for approximate Bayesian inference. In the last years it has established itself as an alternative to other methods such …
R-INLA Project - Documentation
Documentation Help Selected List of Latent Models, Likelihoods, Priors and Vignettes found in INLA: Selected Latent Models with Example on each: Selected Priors with Example on each: Selected …
R-INLA Project - Examples & Tutorials
INLA course on discrete data (Video 1: Intro - Video 2: Hands-on), Luigi &Thomas, at Spatial Data Science conference organized by the University of Lausanne. A gentle INLA tutorial - Precision …
R-INLA Project - FAQ
The R-INLA library contains precompiled binaries of the inla-program. To make the program run for all various processors, its is compiled using generic compiler options and 32bit, for Windows, MacOSX …
R-INLA Project - Scientific Meetings
Workshop on SPDE modeling and INLA (Avignon, France, 2018) An international virtual workshop entitled Introducing R-INLA and its Applications ( Airlangga University, Indonesia, 2020)
R-INLA Project - Help
A detailed (?) description of each function in the R-INLA package can be obtained by typing in R any of the two commands below: You can also have a look at our FAQ page. If you have questions about …
R-INLA Project - Update INLA
Skip to navigation R-INLA Project Home What is INLA? Documentation Help Download & Install
R-INLA Project - LearnMore
Skip to navigation R-INLA Project Home What is INLA? Documentation Help Download & Install