Bayesian inference in multivariate spatio-temporal areal models using INLA: analysis of gender-based violence in small areas

This repository contains the R code to fit the models described in the paper entitled "Bayesian inference in multivariate spatio-temporal areal models using INLA: analysis of gender-based violence in small areas" (Vicente et al., 2020).

Table of contents

• R code

• References

R code

An updated version of the R code to fit most of the multivariate spatio-temporal models described in the paper (compatible with R-INLA 21.11.22 or newer versions) can be found here. In addition, the Barlett decomposition of the between-crime spatial and temporal covariance matrices is used for models fitted with INLA.

The original code to reproduce the results of the paper using R-4.0.4 and the R-INLA version 21.02.23 is also available at: Version v1.

Acknowledgements

This work has been supported by the Spanish Ministry of Economy, Industry, and Competitiveness (project MTM2017-82553-R, AEI/FEDER, UE), and partially funded by la Caixa Foundation (ID 1000010434), Caja Navarra Foundation and UNED Pamplona, under agreement LCF/PR/PR15/51100007.

References

Vicente, G., Goicoa, T., and Ugarte, M.D. (2020). Bayesian inference in multivariate spatio-temporal areal models using INLA: analysis of gender-based violence in small areas. Stochastic Environmental Research and Risk Assessment, vol. 34, 1421-1440, 2020, DOI:10.1007/s00477-020-01808-x.