high shrinkage solutions
Posted 22 October 2021 - 11:30 PM
Posted 23 October 2021 - 07:03 AM
I'm not sure if there is anything you can to decrease the shrinkage; it is a diagnostic that tells you the data does not have enough information to estimate random effects on this parameter. I think with the second compartment parameters identifiability can be an issue, since even when you remove random effects for v2, shrinkage is still a little high for CL2
I don't think considering covariates would help, but I'd be interested to hear others experiences.
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