Only the stan model definition (`.stan`

file) and posterior draws from that model are given. How can I compute the (unnormalized) log probabilities of these posterior samples?

Thank you!

Only the stan model definition (`.stan`

file) and posterior draws from that model are given. How can I compute the (unnormalized) log probabilities of these posterior samples?

Thank you!

If you don’t have access to the original stanfit object that has the log-probability stored internally, then you can use the `log_prob`

function in rstan to recreate this. @avehtari has a great case study that walks through this in more detail: Visual illustration of Jacobian of parameter transformation

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Thank you for the answer and links! I am using pystan 3 whose documentation is a bit obscure. Will take a try!