bvarnet 1.0.2

New features

Fixed automatic scaling of Gaussian default priors and related misscalulation of BFs
Fixed that extract_random_effects(what = "mean_u") and what = "draws_u" returned scrambled subject estimates and RE mislabeling in mixed-family fits.
Change default CI to 95% and introduce argument to vary CI width.

Defined the %||% 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.
Minor bug and documentation fixes.
bvar() gains ..., forwarding additional arguments (e.g. init, refresh, thin, step_size) to CmdStanR’s $sample() method.
Added a safeguard against duplicated (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).