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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).

Usage

# S3 method for class 'psave'
summary(object, un = TRUE, candidates = TRUE, ...)

# S3 method for class 'summary.psave'
print(x, digits = 3, ...)

Arguments

object

A psave object.

un

If TRUE (default), the balance table includes the unweighted columns.

candidates

If TRUE (default), the per-candidate diagnostics table is included.

...

Ignored.

x

A summary.psave object.

digits

Number of significant digits to print. Default 3.

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.