Tom,
thanks for spotting a bug in glmmML; internally, glmmML sorts data by
cluster. The bug is that I missed to sort the weights accordingly.
Weights are produced when the response is a two-column matrix, as in
your case. So, glmmML calls glm.fit with wrong weights, and the
warning comes from that
On Jun 21, 2011, at 11:13 PM, Tom Kraft wrote:
Dear all,
This question is basic but I am stumped. After running the below, I
receive
the message: "non-integer #successes in a binomial glm!"
model1 <-
glmmML(y~Brood.Size*Density+Date.Placed+Species+Placed.Emerging+Year
+rate.of.parperpl
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