Produces (a) the selected mixing-weight tables \(\lambda\) and
\(\gamma\), (b) the diagnostics table (all four selection criteria for
every candidate propensity score and for the selected average – the "was
averaging worth it?" comparison), and (c) the full balance table (all
covariates plus the prognostic score; unweighted vs. weighted SMD and KS,
with a * marker at weighted SMD > 0.1).
Value
For summary.psave(), an object of class "summary.psave": a
list with elements lambda, gamma, gamma.mse, diagnostics,
balance, criterion, criterion.value, prog.target, estimand,
average, nn, and call. print.summary.psave() returns x
invisibly.