[R-meta] How to interpret sigma(model)^2 in metafor

[Yuhang Hu]

Hello Colleagues,

By habit, I always check the variance of the residuals of my ordinary
regression models using: sigma(model)^2, which is also printed in the
output.

I know that the variance of the residuals in meta-regression is not
estimated but rather taken as being known and fixed by virtue of user's
supplying the 'vi' or 'V' to functions such as rma.uni() and
rma.mv().

So, I was wondering what is the interpretation of sigma(rma.uni_model)^2
and sigma(rma.mv_model)^2 and how they connect to the user-supplied 'vi'.

Thank you very much for your time.

Best,
Yuhang

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