Its the penalized complexity prior, that depends on the graph. It is
explained here,
@Article{art585,
author = {A. Riebler and S. H. S{\o}rbye and D. Simpson and H.
Rue},
title = {An intuitive {B}ayesian spatial model for disease
mapping that accounts for scaling},
journal = {Statistical Methods in Medical Research},
keywords = {year2016,my.own,
my.cv},
year = 2016,
volume = {25},
number = {4},
pages = {1145-1165}
}
Recall, that you can also plot the priors in the same plot as the
posteriors, using
plot(result, plot.prior=TRUE)
On Thu, 2017-08-10 at 22:04 -0300, Elias T. Krainski wrote:
> Yes it is. You can check with
> inla.models()$latent$bym2$hyper
> Elias
>
> On 08/10/2017 05:16 PM, Shige Song wrote:
> > Dear All,
> >
> > I noticed that, with the newly unstable build of the INLA, it is
> > now possible to estimate a "bym2" model without explicitly
> > specifying priors. My question is: Is the default prior for BYM2
> > model PC prior?
> >
> > Many thanks.
> >
> > Best,
> > Shige
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Håvard Rue <
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