On Wed, 28 Sep 2005, Robert Bagchi wrote: >>Hi Patrick >> >>thanks for your advice. I have now tried glmmPQL, and it worked fine - >>I'm getting consistent results between plots and models fitted by >>glmmPQL. Plus it allows predict() and resid() which is another advantage >>over lmer at present. >> >>quick question though: why does one need to use PQL for binomial models? >>Is there a good reference for this? > You don't have to use PQL for binomial models, but you can't use least-squares. PQL is an approximate solution. Laplace and Adaptive Gaussian Quadrature options in lmer are better approximations. So lmer would likely become the better option as it progresses in its development (though the current issues you've found with the F ratios certainly sound like maybe lmer isn't better for you in its current incarnation). alan
-- Alan B. Cobo-Lewis, Ph.D. (207) 581-3840 tel Department of Psychology (207) 581-6128 fax University of Maine Orono, ME 04469-5742 [EMAIL PROTECTED] http://www.umaine.edu/visualperception ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
