Bayesian Multivariate Spatial Models for Lattice Data with INLA

The INLAMSM package for the R programming language provides a collection of multivariate spatial models for lattice data that can be used with the INLA package for Bayesian inference. The multivariate spatial models implemented include different structures to model the spatial variation of the varia...

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Bibliographic Details
Published inJournal of statistical software Vol. 98; no. 2
Main Authors Palmí-Perales, Francisco, Gómez-Rubio, Virgilio, Martinez-Beneito, Miguel A.
Format Journal Article
LanguageEnglish
Published Foundation for Open Access Statistics 01.05.2021
Subjects
INLA
multivariate modeling
spatial statistics
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Summary:The INLAMSM package for the R programming language provides a collection of multivariate spatial models for lattice data that can be used with the INLA package for Bayesian inference. The multivariate spatial models implemented include different structures to model the spatial variation of the variables and the between-variables variability. In this way, fitting multivariate spatial models becomes faster and easier. The use of the different models included in the package is illustrated using two different datasets: the well-known North Carolina SIDS data and mortality by three causes of death in Comunidad Valenciana (Spain).
ISSN:1548-7660
1548-7660
DOI:10.18637/jss.v098.i02