/INLA_MVPP

Aproximate Bayesian inference for multivariate point patterns

Primary LanguageR

Analysis of multivarite point patterns with INLA

The code in this repository fits multivariate models to marked point patterns from case-control data. In addition, exposure to pollution soures can be assessed by including different terms on the distance to the putative source.

The methodology is described in this arXiv paper:

Title: Approximate Bayesian inference for multivariate point pattern analysis in disease mapping.

Authors: Francisco Palmi-Perales, Virgilio Gomez-Rubio, Gonzalo Lopez-Abente, Rebeca Ramis-Prieto, Jose Miguel Sanz-Anquela, Pablo Fernandez-Navarro.

  • Folder case_study: Includes the files to reproduce the case study developed in the paper. Note that a simulated dataset (from the original data) is provided as the real dataset cannot be distributed due to confidentiality issues.

  • Folder simulation: Simulated datasets and R code to run the simulation study described in the paper.