|Authors:||Francisco Palmí-Perales, Virgilio Gómez-Rubio, Miguel A. Martinez-Beneito|
|Title:||Bayesian Multivariate Spatial Models for Lattice Data with INLA|
|Abstract:||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).|
Page views:: 1822. Submitted: 2019-07-31. Published: 2021-06-05.
Bayesian Multivariate Spatial Models for Lattice Data with INLA
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.