bvarnet_setup_models().extract_random_effects(what = "mean_u") and
what = "draws_u" returned scrambled subject estimates and
RE mislabeling in mixed-family fits.%||% operator internally.print() now reports the effective scale of default
Gaussian priors, which are widened by the outcome SD before reaching
Stan. Previously this scaling was invisible.bvar() gains ..., forwarding additional
arguments (e.g. init, refresh,
thin, step_size) to CmdStanR’s
$sample() method.(id, time) rows,
which previously produced an ambiguous, silently-contaminated lag
design; these now error with guidance to deduplicate or aggregate.time_col must now be integer-valued (one time unit =
one lag step).
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