c(
person("Saskia A.", "Otto", email = "saskia.a.otto@gmail.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0001-7780-1322") ),
person("Rene", "Plonus", role = "aut"),
person("Steffen", "Funk", role = "aut"),
person("Alexander", "Keth", role = "aut")
)
Saskia A. Otto [aut, cre] (<https://orcid.org/0000-0001-7780-1322>),
Rene Plonus [aut],
Steffen Funk [aut],
Alexander Keth [aut]

Virgilio Gómez-Rubio <virgilio.gomez@uclm.es>, Roger Bivand <Roger.Bivand@nhh.no>
Fit Spatial Econometrics models using Bayesian model averaging
on models fitted with INLA. The INLA package can be obtained from
<http://www.r-inla.org>.

Virgilio Gomez Rubio <virgilio.gomez@uclm.es>, Roger Bivand <Roger.Bivand@nhh.no>
Spatial Econometrics models using Bayesian Model Averaging
on models fitted with INLA.

Spatial Econometrics models using Bayesian Model Averaging
on models fitted with INLA. The INLA package can be obtained from
http://www.r-inla.org . We recommend the testing version, which can be
downloaded by running:
source("http://www.math.ntnu.no/inla/givemeINLA-testing.R")

c(
person(given = "Francisco",
family = "Palmí-Perales",
email = "Francisco.Palmi@uclm.es",
role = c("aut")
),
person(given = "Virgilio",
family = "Gómez-Rubio",
email = "Virgilio.Gomez@uclm.es",
role = c("aut", "cre")
),
person(given = "Miguel A.",
family = "Martinez-Beneito",
email = "martinez_mig@gva.es",
role = c("aut")
)
)
Implementation of several multivariate areal latent effects for
'INLA' using the 'rgeneric' latent effect (Palmí-Perales et al., 2019,
<arXiv:1909.10804>). The 'INLA' package can be downloaded from
<http://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>).
Francisco Palmí-Perales [aut],
Virgilio Gómez-Rubio [aut, cre],
Miguel A. Martinez-Beneito [aut]

Implementation of several multivariate areal latent effects for
'INLA' using the 'rgeneric' latent effect (Palmí-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>).
R (>= 3.5.0), Matrix, MCMCpack, sp, spdep