Göran Broström <[EMAIL PROTECTED]> writes: > I think the "weights=n" is the problem, i.e., you summarize Bernoulli > data to Bin(100, p) data, and that gives a completely different estimate of > the variance of the random effect. (This looks as an error in lme4 to me, > or am I missing something? Doug?) Really, the two ways of representing data > should give equivalent analyses, but it doesn't. The same phenomenon > appears in 'glm', i.e. without random effects, but only for the residual > sum of squares, df, and AIC.
It is indeed an error in lme4. Thanks for picking that up, Goran. Fixing it is now on the "To Do" list. ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
