To be able to execute the practicals

 •	Install R: https://cran.r-project.org/mirrors.html

 •	Install the INLA package using 
install.packages("INLA", repos=c(getOption("repos"), INLA="https://inla.r-inla-download.org/R/testing"), dep=TRUE)

 •	Install the R packages with the following command in the R prompt 
install.packages(c('sp', 'splancs', 'fields', 'maps', 'maptools', 'rgdal', 'rgeos', 'inlabru'))

Course plan (may change)

Schedule	Plan	
Day 1	Introduction to the Latent Gaussian Models. Examples	
Day 2	INLA: Approximations, Integration, Precision matrices, Posterior marginals
The Penalized Complexity Prior (PC-prior) framework. Example.	
Day 3	The INLA package. 
How to fit GLMs with random effects in INLA	
Day 4	Structured random effect models: Gaussian Markov random fields
Fitting temporal and spatial models	
Day 5	Expert options and fatures	
Day 6	Space-time models. Example