e sampler data store, and by default will return the rate of accepted newly generated random effects over a window covering the last 200 iterations. This will effect how the acceptance rate progress bar display progress, being more responsive to local changes in acceptance rate. This also means secondary runs of the adaptation stage can take into account unique random effect samples from previous runs for it’s internal testing.</li>
<li>New function, <code>relabel_samples</code>, added to allow a user to 