Dear R users,
I want to fit a model with within-subject correlations but with no random
effects. So I could use gls to set correlation=corSymm(~1 | group). Here
the problem I encountered is that I have 90 groups, and for the first,
second and third 30 groups I want them to have three different
unstructured correlation structures. Can I achieve that in gls() of the
nlme package?
Thank you!
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