Dear R-help members,
Say I have two data sets collected at different times with the same design. I
fit a mixed model using in R using lmer
lmer(y ~ (1|A))
to these data sets and get two estimates of sigma2_A and sigma2_e
What would be a good way to compare sigma2_A and sigma2_e for these two data
sets and obtain a P value for the hypothesis that sigma2_A1 = sigma2_A2? There
is obvious shrinkage on these estimates, should I be worried about the
differential levels of shrinkage on these estimates and how to account for that?
Thank you for your thoughts and inputs!
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