Discrepancy between summary() and tab_model() for brms models about sjplot HOT 5 OPEN

Coefficient may differ, depending on whether mean or median (or another centrality measure) is reported. tab_model() reports the variances, while summary() usually reports SD of the random effects parameter. You cannot change this part of the table output in tab_model(), unfortunately.
Alternatively, you may try following packages:

• parameters (using model_parameters() and print_html()
• modelsummary
• gtsummary

(There are probably more, but these are the packages I usually use)

from sjplot.

Hi Daneil,

Thanks for the clarification. In this case, what is the tab_model() sigma^2 for the random effect denoting?

from sjplot.

Sigma^2 is the resiudal variance (you also get this from the summary). See also https://easystats.github.io/insight/reference/get_variance.html, where Tau etc. are also explained.

You actually find most values directly in the summary output:

from sjplot.

(just realized, you're talking about brms - the summary output may differ)

from sjplot.

Hi Daniel,

Thanks - yes I'm fitting a hierarchical bernoulli model via brms so the output is different, and I don't think there should be an estimated sigma^2 term as that's not a parameter in the model (other than the sigmas for the hierarchical effects). Just wondering if this something coming out because I'm using brms when this function isn't supported for these types of models.

I'll look into the other pacakges you mentioned in the mean time

from sjplot.