Hello all, I'm attempting to fit a generalized linear mixed-effects model using lmer (R v 2.6.0, lmer 0.99875-9, Mac OS X 10.4.10) using the call:
vidusLMER1 <- lmer(jail ~ visit + gender + house + cokefreq + cracfreq + herofreq + borcur + comc + (1 | code), data = vidusGD, family = binomial, correlation = corCompSymm(form = 1 | ID), method = "ML") Although the model fits, the summary indicates the model is a "Generalized linear mixed model fit using Laplace". I've tried any number of permutations; is only Laplace supported in lmer, despite the text of the help file? Thanks for any guidance you might give. M-J -- Research assistant Vancouver Injection Drug User Survey BC Centre for Excellence in HIV/AIDS St. Paul's Hospital, Vancouver MSc candidate Department of Healthcare and Epidemiology Faculty of Medicine University of British Columbia ______________________________________________ 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.
