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 <filipescpcarva...@yahoo.com> 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]] > > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > 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 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
