I obtain this message:


Error: C stack usage is too close to the limit



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 <mmari@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 <help@r-inla.org> escribió:
>
> It's fixed in the testing version
>> On Mar 15, 2012 1:23 PM, "Marc Marí Dell&apos;Olmo" <mmari@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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