Bayesian Multivariate Spatial Models for Lattice Data with INLA
Dublin Core
Title
Bayesian Multivariate Spatial Models for Lattice Data with INLA
Subject
INLA, spatial statistics, multivariate modeling, R.
Description
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).
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).
Creator
Francisco PalmÃ-Perales
Source
https://www.jstatsoft.org/article/view/v098i02
Publisher
Universidad de Castilla-La Mancha
Date
May 2021
Contributor
Fajar bagus W
Format
PDF
Language
Inggris
Type
Text
Files
Collection
Citation
Francisco PalmÃ-Perales, “Bayesian Multivariate Spatial Models for Lattice Data with INLA,” Repository Horizon University Indonesia, accessed May 9, 2025, https://repository.horizon.ac.id/items/show/8188.