New tutorials on spatial models in INLA

posted 13 Mar 2018, 00:15 by Haakon Bakka

Haakon has written several code tutorials on a separate website

That webpage is very much a work in progress, but people find it very helpful, and I use it for teaching INLA courses.

A very different tutorial can be found at
"How to solve the stochastic partial differential equation that gives a Matérn random field using the finite element method"
This details the steps for solving the SPDE and computing the resulting matrices.

Feedback is appreciated, and I will update and improve the tutorials if you find them useful.


Shiny application for the analysis of spatial and spatio-temporal count data: SSTCDapp

posted 24 Feb 2018, 20:54 by Havard Rue   [ updated 25 Feb 2018, 04:43 by Andrea Riebler ]

This is cool; hiding the complex interface to R-INLA through an easy web interface....



``SSTCDapp is an interactive web application developed by the Spatial Statistics Group of the Public University of Navarre, Spain supported by grants from the Spanish Ministry of Economy and Competitiveness (Project MTM2014-51992-R) the Health Department of the Navarre Government (Project 113, Res.2186/2014) and the Spanish Ministry of Economy, Industry, and Competitiveness (Project MTM2017-82553-R jointly financed by FEDER) .

SSTCDapp has been designed for the following purposes:

  • To perform descriptive analyses in space and time of mortality/incidence risks or rates.
  • To fit a wide variety of spatial and spatio-temporal hierarchical models commonly used in disease mapping.

The SSTCDapp facilitates the use of these models, since some of them are difficult to implement for non-expert users working in epidemiology or public health institutes. The application may also be used for the analysis of similar problems in many other fields such as criminology, gender-based violence, road traffic accidents or veterinary epidemiology.

The application allows the users to upload their data and its associated cartography, to generate many graphs and tables for the descriptive analysis of mortality/incidence of risks/rates, and last but not least, to fit fairly complex spatio-temporal models to smooth risks in space and time. The recently proposed integrated nested Laplace approximation (INLA) technique for Bayesian inference is used for model fitting and inference using the R-INLApackage.

Start using SSTCDapp''

R-INLA review (part II)

posted 20 Feb 2018, 10:28 by Havard Rue

The first review was about the main ideas and the approximations itself. This time its a review about the spatial models, see the new  arxiv'ed report


New Shiny-app for creating and learning about meshes!

posted 13 Feb 2018, 01:37 by Havard Rue

Finn.L added a new Shiny-app for creating and learning about meshes in the most recent testing-version: Version_18.02.13

see ?meshbuilder


National Center for Health Statistics & U.S Country teen birth rate

posted 7 Feb 2018, 09:35 by Havard Rue   [ updated 7 Feb 2018, 09:54 ]

I was informed by Dr. Diba Khan  that 

I am happy to inform you that the county teen birth rates data visualization gallery 
has gone live with the estimates obtained by using R-INLA on NCHS website

This is really cool!  The link is here


Another `gentle' blog-post...

posted 6 Feb 2018, 20:59 by Havard Rue   [ updated 7 Feb 2018, 02:35 ]

Another ``gentle'' blog-post worth reading, this time from Martin Modrak.

PS: We encourage strongly to compare posteriors (or statistics) of log(precision)'s instead of doing the comparison on the precision scale; 
see for example this reference

METIS library version 5

posted 26 Jan 2018, 07:15 by Havard Rue

The testing version from 26th Jan 2018 is finally linked with the METIS library version 5. Those who compile the binaries manually, need to replace METIS version 4 with version 5, AND recompile the patched TAUCS library from this link


New book: "Bayesian Regression Modeling with INLA"

posted 4 Jan 2018, 08:38 by Havard Rue   [ updated 4 Jan 2018, 08:39 ]

Congratulations to Xiaofeng Wang, Yu Yue Ryan and Julian J Faraway,  for their new book "Bayesian Regression
Modelling with INLA", which is announced on Amazon and ready for preorder (at the time of writing).

"A gentle INLA tutorial"....

posted 29 Dec 2017, 07:28 by Havard Rue   [ updated 29 Dec 2017, 07:32 ]

 has written a gentle INLA tutorial worth reading, here is the link.


Introduction to R-INLA for Bayesian Spatial Modeling, Rome 13-15Dec

posted 10 Dec 2017, 02:56 by Havard Rue

Sapienza University, Rome, 13-15 Dec, by Haakon Bakka.  See here for the official announcement.

1-10 of 120