Displaying 1 result from an estimated 1 matches for "glmerr".
Did you mean:
glmer
2002 Nov 21
0
Analysis of Data with Observation Weights Revisited
...n has its own id.
The problem with this solution is that gee does NOT allow weights (probably
something that would be fairly simple to modify); thus, the gee option
doesn't really work.
For those who are interested, one work around is to use the Thomas Lumley's
infjack.glm function in the glmerrs.R file at
http://faculty.washington.edu/tlumley/glmerrs.R
and the code is all in the WEAVE package at
http://faculty.washington.edu/tlumley/weave.html
In the example, notice that the SE estimates are much closer to the SE
values in the original model without weights.
> model<-glm(y1~x1,wei...