inla-sandbox

A collection of notebooks written by Jeff Eaton on spatio-temporal modelling with R-INLA and TMB. I’ve rendered and uploaded these for my own reference. Perhaps they might be useful to you too:

• arima110-inla-rgeneric: demonstration of the AR1 and ARIMA(1, 1, 0) models using R-INLA’s rgeneric framework
• inla-internals: understanding internal details of R-INLA via experimentation, such as constants added to the diagonal for numerical stability, scaling of precision matrices, and implementation of Kronecker products via the group option
• inla-tmb-constraints: fitting a sequence of models (intercept, ICAR, RW1, ICAR + RW1, ICAR x IID, ICAR x IID with constraints, ICAR x RW1, ICAR x RW1 with constraints, ICAR + RW1 + ICAR x RW1, AR1, IID x AR1 and ICAR x AR1) to the brainNM dataset
• tmb-bym2: efficient implementation of the BYM2 model in TMB