Prints a one-screen teaching summary of a fitted oal() object: the
provenance label first (which method, which tuning provenance), the sample,
the selected tuning point and its wAMD, the retained
(outcome-related) versus excluded (outcome-unrelated) covariates with their
outcome-coefficient magnitudes, the fixed instrument-exclusion rationale,
and then the literal next call – echoing the formula and data name
from your own oal() call – that hands the score to
MatchIt::matchit() or WeightIt::weightit(). A near-positivity
diagnostic is appended when more than 5\
clipping bound.
Usage
# S3 method for class 'oal'
print(x, digits = 3, ...)