How to assess discrimination and calibration from a brms survival model

I have a question about survival modeling with brms. Is there any standard way, e.g., some function or algorithm, to evaluate the discrimination and calibration of brms survival models, analogous to the frequentist models? For example, for frequestist survival models I can calculate a bootstrapped c-index and also plot calibration . How do bayesians do this?

Sorry, don’t have time to answer this, but maybe @sakrejda is not busy and can answer?

Maybe also @sambrilleman and @ermeel can chime in?

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