How to extract the estimated hyperpriors?


How do I extract the hyperpriors in brms()? Let’s say with a hierarchical model: How to extract the values of M_{\beta} (below) which are estimated from the data:

Or with a measurement error model how to extract the estimated hyperpriors of the measurement error variable.

Many thanks,


brms uses a non-centered parameteriztations so you specify M_beta directly in the main formula and not hierarchically. In the main formula the mean hyerparameters are just appearing as basic regression coefficients. For example in

y ~ 1 + x  + (1 + x | ID)

the first x just refers to the mean effect of the xs over the IDs. See also the two main brms papers.

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Thank you!