1. You are right with your statements.
2. You should address all further discussion to the r-sig-mixed-models
list, not here.
-- Bert
On Mon, Mar 4, 2013 at 9:06 AM, Filipe Carvalho
wrote:
> Hi List,
>
> I’ m analysing the selectivity of
> resting site use by forest carnivores through mixed modelling techniques and I
> wonder which will be the best r package to deal with several aspects
> simultaneously:
> - binomial
> variable response;
> - possible
> spatial and/or temporal correlation;
> I have tried nlme (lme function) and
> lme4 (lmer function) packages, however I realize that the results were
> different
> concerning regression coefficients estimates and p-values!
>
> In nlme package, despite I can add
> easily a variance structure and/or temporal and spatial correlations
> structures,
> the choice of the “family = binomial” is not allowed. On the other hand, with
> lme4
> I can choose the binomial familty, but no structures can be added!
>
>
> Am I wrong with these statements?
> Zuur et al. 2009 always used lme4 (Mass or glmmML) with binomial data but
> never
> nlme!
> Can anyone help me? There is other options
> in R ?
>
>
> Thanks a lot!
> Best regards!
>
> Filipe Carvalho
>
> Filipe Carvalho, MSc, PhD student.
> Unidade de Biologia da Conservação (UBC) e
> Centro de Investigação em Biodiversidade e
> Recursos Genéticos (CIBIO),
> Universidade de Évora,
> Casa Cordovil, 2º Andar, Rua Dr.
> Joaquim Henrique da Fonseca,
> 7000-890 Évora, (PORTUGAL)
> Telefone: + 351266759350
>
>
> Filipe Carvalho, MSc, PhD student.
> Conservation Biology Unit (UBC) and
> Research Center in Biodiversity and
> Genetic Resources (CIBIO),
> University of Évora,
> Casa Cordovil, 2º Andar, Rua Dr.
> Joaquim Henrique da Fonseca,
> 7000-890 Évora, (PORTUGAL)
> Phone: + 351266759350
>
> [[alternative HTML version deleted]]
>
>
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
--
Bert Gunter
Genentech Nonclinical Biostatistics
Internal Contact Info:
Phone: 467-7374
Website:
http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm
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