Skip to content
Prev 18697 / 20628 Next

var(ranef(Random Effect)) not the same as the variance component

First of all, thank you all for your valuable input.

Dimitris,

Thank you I upvoted your answer on CV as well. But please help me
understand a few things.

1- By D matrix, you mean the G matrix shown in:
https://bookdown.org/marklhc/notes/simulating-multilevel-data.html#linear-growth-model

2- When you say variance components in the output are prior values, can you
tell me how these prior values are obtained? I guess from the data itself,
but how exactly (do we run individual models first to see how much
intercepts and slopes vary & co-vary and take those as prior)?

3- Harold above noted that: "The conditional means of the random effects
are E(Y|X) and hence their variance is only one portion of the total
variance [i.e., var(y)]." I'm not sure how this directly relates to my
question in this thread?

Thank you,
Simon




On Tue, Sep 8, 2020 at 3:47 PM Harold Doran <
harold.doran at cambiumassessment.com> wrote: