Suggestion: Post your query on the r-sig-mixed-models list, which is (obviously) focused on mixed models issues, and where you are likely to find both greater interest and expertise on such matters.
Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Wed, Jan 31, 2018 at 1:35 AM, Gerda Börner <[email protected]> wrote: > Hello, > > currently I am trying to fit a generalized linear mixed model using the > glmmPQL function in the MASS package. I am working with the data provided by > the book from Heck, Thomas and Tabata (2012) - > https://www.routledge.com/Multilevel-Modeling-of-Categorical-Outcomes-Using-IBM-SPSS/Heck-Thomas-Tabata/p/book/9781848729568 > > I was wondering, which variance-covariance structure the glmmPQL function is > using by default and if it is possible to vary the variance-covariance > structure with the glmmPQL function. Unfortunately I couldn't manage to find > out myself. > If it is possible to change it, could someone tell me how to do so? I am > especially interested in a diagonal structure versus an unstructured > variance-covariance structure. > > Thanks a lot in advance. > > Gerda > > ______________________________________________ > [email protected] mailing list -- To UNSUBSCRIBE and more, see > 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. ______________________________________________ [email protected] mailing list -- To UNSUBSCRIBE and more, see 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.
