From: Spencer Graves The correlation between the predictions from your
two model fits is 0.95. This suggests to me that the differences between
the two sets of answers have little practical importance, and anyone who
disagrees may be trying to read more from the results than can actually
The correlation between the predictions from your two model fits is
0.95. This suggests to me that the differences between the two sets of
answers have little practical importance, and anyone who disagrees may
be trying to read more from the results than can actually be supported
by
Is it to be expected that the way a data frame is sorted should affect the
model fit by glmmPQL?
Example:
library(MASS)
library(nlme)
fit.model - function(il, model.family) {
cs - Initialize(corSymm(form=~1|id), data=il)
glmmPQL(score~test+coder, random=~1|id, #
