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anova on binomial LMER objects

2 messages · Alan Cobo-Lewis, Douglas Bates

Original
Alan Cobo-Lewis
#
On Wed, 28 Sep 2005, Robert Bagchi wrote:
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     		alanc at maine.edu

http://www.umaine.edu/visualperception
Douglas Bates
# 
The issues with lmer and the analysis of variance are due to its not
make appropriate correction for the prior weights vector.  If you
convert your binomial response to the equivalent number of binary
responses you get an appropriate anova table.

It's on the "ToDo" list to fix this but a few other things have to
come first, like grading assignments in one of my courses and
repairing the computer in my office.  This is the third motherboard I
have torched in four months.
On 9/29/05, Alan Cobo-Lewis <alanc at umit.maine.edu> wrote: