On 2014-01-15 11:00, r-help-requ...@r-project.org wrote:
Date: Wed, 15 Jan 2014 16:39:17 +1000 From: Diana Virkki<d.vir...@griffith.edu.au> To:r-help@r-project.org Subject: [R] Model averaging using QAICc Message-ID: <CAL6nRQcAyN-3SVeZSMXoJq=vsxotpg3e0prwjw7iu7g20b+...@mail.gmail.com> Content-Type: text/plainHi all, I am having some trouble running GLMM's and using model averaging with QAICc. Let me know if you need more detail here: I am trying to run GLMM's on count data in the package glmmADMB with a negative binomial distribution due to overdispersion. The dispersion parameter has now reduced to 2.679 for the global model (from a dispersion parameter of 27.507 with a poisson distribution), and I am not sure if this is still considered too high for running the models? I would like to try to use QAICc's for model selection and model averaging with the package MuMIn. I have so far been able to produce a QAICc output only for the models. I read that model averaging with QAICc can be done in MuMIn but cannot find the syntax to get these outputs, including the model weightings, parameter estimates, confidence intervals, and relative variable importance.
Use argument 'rank' to provide the information criterion to use: - with 'dredge': rank = "QAICc", chat = <c-hat> - with 'model.sel' and 'model.avg' : rank = "QAICc", rank.args = list(chat = <c-hat>) See example(QAICc) and example(model.avg) kamil The University of Aberdeen is a charity registered in Scotland, No SC013683. ______________________________________________ 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.
