Summarize relational property of overall prior and posterior samples

set2set(priors, posteriors, par, bins = 20)

Arguments

priors

A posterior::draws_rvars of dimension(n_iterations=1, n_chains=n_sbc_iterations, n_variables=n_variables) which stores prior samples

posteriors

A posterior::draws_Rvars of dimension(n_iterations=n_posterior_samples, n_chains=n_sbc_iterations, n_variables=n_variables), which stores fitted posterior samples

par

names of parameter to summarize

bins

number of bins for prior and post density