I know that, when performing power calculation based on logistic regression model, under the regular frequentist approach, power calculations become unstable if it is based on the model that causes perfect separation of the data.

But what if I am doing the bayesian power calculation?

if I am doing a Bayesian power calculation based on a logistic regression model, would it have negative impact on the Bayesian power calculation if the logistic regression model that is being used causes perfect separation of data, perhaps by decreasing the standard deviation of the posterior of beta?

Thank you,