brms provides get_prior(formula, data)
, which shows the default priors. Is it possible to get a similar view of the priors after customizing some of them? I can’t find a get_prior(formula, data, priors)
method.
You mean that after having sampled the model you would like to examine the priors that were used? If that is the case prior_summary(myModel)
.
I mean before sampling, to see the priors that will be used – the combination of the default priors and the priors I customize in the priors=
argument.
Aah, the workflow you could use is;
p < get_prior(myFormula, data, likelihood)

p$prior[1] < "normal(0,1)"
# set a prior manually 
p
# check that prior has been set  Now you can use
p
in the call tobrm()
asprior=p
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