[R] Mixed Models providing a correlation structure.
mresende at ufl.edu
Fri Jul 6 03:43:00 CEST 2012
I was wondering how to run a mixed models approach to analyze a linear
regression with a user-defined covariance structure.
I have my model
y = xa +zb +e and
b ~ N (0, C*sigma_square). (and a is a fixed effects)
I would like to provide R the C (variance-covariance) matrix
I can easily provide an example, but at this point I am first trying to know
what is the best package the allows an unstructured covariance matrix.
I was trying the function lme in the package nlme but I didn't have success
in the defining the option "correlation"
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