swMATH ID: 40208
Software Authors: Francisco Palmí-Perales, Virgilio Gómez-Rubio, Miguel A. Martinez-Beneito
Description: 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 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).
Homepage: https://www.jstatsoft.org/article/view/v098i02
Source Code:  https://github.com/cran/INLAMSM
Dependencies: R
Keywords: Journal of Statistical Software; R; R package; INLA; spatial statistics; multivariate modeling; INLAMSM
Related Software: Matrix; RColorBrewer; rgdal; spData; inlabru; R-INLA; RStan; WinBUGS; R2WinBUGS; CARBayes; spBayes; gstat; spatialkernel; spatstat; INLA; R
Cited in: 0 Publications

Standard Articles

1 Publication describing the Software Year