Thank very much Dennis,
I much appreciate your time and help. The example was very clear.
Do you know if it is possible to get the variance do to the random
effect or the correlation within random variable from the same
reproducible example you post.
I used to be able to get it when using a l
Hi:
If you're asking about the p-values, here's a reproducible example
from the gee package:
library('gee')
m <- gee(breaks ~ tension, id=wool, data=warpbreaks, corstr="exchangeable")
# Nosing around the summary method return object:
> names(summary(m))
[1] "call""version"
Does anyone know how could I get the significant codes from mixed model
output fitted with a GEE package?
The output I got is the following:
GEE: GENERALIZED LINEAR MODELS FOR DEPENDENT DATA
gee S-function, version 4.13 modified 98/01/27 (1998)
Model:
Link: Logit
Varia
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