INLAMSM v0.2-2

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Multivariate Spatial Models with 'INLA'

Implementation of several multivariate areal latent effects for 'INLA' using the 'rgeneric' latent effect (Palm<c3><ad>-Perales et al., 2019, <arXiv:1909.10804>). The 'INLA' package can be downloaded from <https://www.r-inla.org>. In particular, the package includes latent effects ready to use for several multivariate spatial models: intrinsic CAR, proper CAR and the M-model (Botella-Rocamora et al., 2015, <doi:10.1002/sim.6423>).

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Multivariate spatial models for lattice data with INLA

The INLAMSM package implements several multivariate spatial models for lattice data with INLA. Models implemented include multivariate instrisic CAR, multivariate proper CAR and the M-model.

The package can be installed as follows:

devtools::install_github("becarioprecario/INLAMSM")

A paper that describes the package can be found in the arXiv. R code to run all the examples can be found here.

Functions in INLAMSM

Name Description
inla.MCAR.transform Transform hyperparameters in multivarite spatial models.
inla.rgeneric.MCAR.model \(MCAR(\alpha, \Lambda)\): Proper multivariate CAR latent effect with a common autorcorrelation parameter.
inla.rgeneric.IMCAR.model \(IMCAR(\Lambda)\): Intrinsic multivariate CAR latent effect.
CV.nb Adjacency matrix of municipalities in Comunidad Valenciana (Spain)
inla.rgeneric.indep.MCAR.model \(MCAR(\alpha, \Lambda)\): Proper multivariate CAR latent effect without correlation parameters.
inla.rgeneric.Mmodel.model M-model: Proper multivariate CAR latent effect with a different spatial autorcorrelation parameter for each disease.
inla.rgeneric.indep.IMCAR.model \(MCAR(1, \Lambda)\): Intrinsic multivariate CAR latent effect without correlation parameters.
CV Multivariate mortality data from Comunidad Valenciana (Spain)
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Details

Type Package
License GPL-3
Encoding UTF-8
LazyData true
RoxygenNote 7.1.1
Additional_repositories https://inla.r-inla-download.org/R/stable
NeedsCompilation no
Packaged 2021-01-29 22:02:08 UTC; virgil
Repository CRAN
Date/Publication 2021-01-31 16:40:02 UTC

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