@JkayFlake I think Pinheiro & Bates (2000) Mixed-Effects Models in S and S-PLUS is still the go-to reference if you would want to do this with R {nlme}. https://t.co/GW0ha2RDmP, but there are versions of this in other parts of the Internet (or DM me)
@ahbossi The variance estimates are multipliers of the residual variance per group. Group 2(?) is the reference level, and group 1 has a residual variance 1.38 times group 2 if I remember Pinheiro and Bates correctly. The likelihood ratio test indicates is
Not sure if this is what you need, but Pinheiro & Bates has a nice, extensive section on controlling for spatial pseudoreplication: https://t.co/rWQUUPPiWb Not quite Bayesian, but is for hierarchical models, and should apply exactly for nested Bayesia
@XemMd @f2harrell @MaartenvSmeden @ESteyerberg @ADAlthousePhD @ihtanboga @venkmurthy @dataandme @malco_barrett @tmorris_mrc @JasonConnorPhD @TPA_Debray @statsepi @ChristosArgyrop @graemeleehickey @Georg__Heinze I've learnt the most from applied books: - RM