Comments (2)
kbroman
commented on June 10, 2024
2
I think what’s special is the “…where the covariance structure can be written as a linear combination of known matrices.” Rather than specify random effects with an implied variance structure, you give the variance structure more directly. There are some applications in spatial data and also in genetics where this is more natural.
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bbolker
commented on June 10, 2024
Hmm. This certainly fits within the scope (I think it would go in the "frequentist mixed models" section, but to be honest I'm wondering/curious where its advantages lie over other packages - is there some particular use case this is good for that we can highlight in the task view?
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Related Issues (20)
- "Repeated Measures" subsection created - help needed HOT 1
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