On 15.03.2012 13:47, Marc Marí Dell'Olmo wrote:
I obtain this message:


Error: C stack usage is too close to the limit

Using the function inla.read.graph?
Then please ask the corresponding package maintainer.

Uwe Ligges



Marc Marí-Dell'Olmo
CIBER Epidemiología y Salud Pública
Servei de Sistemes d'Informació Sanitària (SeSIS)
Agència de Salut Pública de Barcelona
Pl. Lesseps 1. 08023 Barcelona
Tel. 93 2027775 | Fax. 93 3686943
www.aspb.cat


El 15 de marzo de 2012 13:35, Marc Marí Dell'Olmo<mm...@aspb.cat>  escribió:

I am analysing a lot of cities, and with the testing version I have the
problem that INLA not works for some of them. I think that cities that do
not work are those with a lot of areas and, therefore, with big graph
files. For example I am working with cities with more than 3000 areas... is
it possible??

Marc Marí-Dell'Olmo
CIBER Epidemiología y Salud Pública
Servei de Sistemes d'Informació Sanitària (SeSIS)
Agència de Salut Pública de Barcelona
Pl. Lesseps 1. 08023 Barcelona
Tel. 93 2027775 | Fax. 93 3686943
www.aspb.cat


El 15 de marzo de 2012 13:24, help help<h...@r-inla.org>  escribió:

It's fixed in the testing version
On Mar 15, 2012 1:23 PM, "Marc Marí Dell&apos;Olmo"<mm...@aspb.cat>
wrote:

Hello!

I have a simple problem. I am using the R version 2.14.1 with the last
stable version of INLA (not the testing version) and windows 7 with 64bits.
Today I have rerunned some BYM models with the last version of INLA and I
have obtained errors. These models had already run with previous
versions of INLA (and previous versions of R) and I had not received any
errors.

I have tried to find the problem and I think that now the graph file is
not being read correctly. My graph has no disconnected components but
INLA thinks that I have 3 disconnected components. Have you changed the format
through which the neighbourhood matrix is specified?

I attach my graph file in order you can check this problem.

aux<- inla.read.graph("W:/bratislava.inla")
summary(aux)
         n =  17
         ncc =  3
         nnbs = (names)  2 3 4 5 6 7
                (count)  2 4 5 2 2 2


___
this summary shoud be:
      n =  17
         ncc =  1
         nbs = (names)  2 3 4 5 6 7
               (count)  2 4 5 2 2 2



Thank you very much!

Marc Marí-Dell'Olmo
CIBER Epidemiología y Salud Pública
Servei de Sistemes d'Informació Sanitària (SeSIS)
Agència de Salut Pública de Barcelona
Pl. Lesseps 1. 08023 Barcelona
Tel. 93 2027775 | Fax. 93 3686943
www.aspb.cat




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