I would like to simulate a response using
posterior_predict() with a model where
sample_prior='only' was specified. As written in the docs, this gives me a matrix with
n_samples rows and
- Is it possible to somehow also know which exact samples from the prior were used in order to simulate each row of size N?
- How does
posterior_predictpick a concrete sample from the prior distributions, randomly or just picking the already sampled values from the prior one by one?
sample_prior='only'does not store the priors, is this intended?
Thanks in advance for your help!
R version: 4.0.3