INLA¶
Description¶
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 as Markov chain Monte Carlo because of its speed and ease of use via the R-INLA package. Although the INLA methodology focuses on models that can be expressed as latent Gaussian Markov random fields (GMRF), this encompasses a large family of models that are used in practice.
Environment Modules¶
Run module spider inla
to find out what environment modules are available for this application.
Environment Variables¶
- HPC_INLA_DIR - installation directory
Categories¶
statistics, modeling, programming