INLA workshops
Slides, code and data used during the INLA workshop
These workshops are a follow-up of the course on “Spatial, temporal and spatial-temporal models using R-INLA” by Alain Zuur and Elena Ieno (Highland Statistics Ltd.). The main goal is the get people using R-INLA with their own data in a workshop setting so they can tap into the knowledge of others. The workshops are not a copy of the Highstat course but elaborate certain topics. We also introduce the inlatools and inlabru.
HackMD, a place to share your code related to these workshops.
Workshop 1
Fitting models with only fixed effects, random intercepts and first order random walk.
Workshop 2
inlabru versus INLA for fixed effects, random intercepts and random walks.
Workshop 3
Fitting models with spatial correlation
Literature
- Bachl, F. et al, 2019 inlabru: an R package for Bayesian spatial modelling from ecological survey data https://doi.org/10.1111/2041-210X.13168
- Blangiardo, M. and Cameletti, M. 2015 Spatial and Spatio-temporal Bayesian Models with R-INLA https://sites.google.com/a/r-inla.org/stbook/ ISBN: 978-1-118-32655-8
- Gómez-Rubio, V. 2019 Bayesian inference with INLA and R-INLA https://becarioprecario.bitbucket.io/inla-gitbook/index.html
- Krainski, E. et al 2018 Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA https://becarioprecario.bitbucket.io/spde-gitbook/index.html
- Wang, X. et al 2018 Bayesian Regression Modeling with INLA ISBN: 978-1-498-72725-9
- Zuur, A. et al 2017 Beginner’s Guide to Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA http://highstat.com/index.php/beginner-s-guide-to-regression-models-with-spatial-and-temporal-correlation ISBN: 978-0-957-17419-1
- Zuur, A. and Ieno, E. 2018 Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. Volume II: GAM and Zero-Inflated Models http://highstat.com/index.php/beginner-s-guide-to-regression-models-with-spatial-and-temporal-correlation ISBN: 978-0-957-17414-6