weighting_alerts() returns the character vector of quality incidents
recorded by prep(), each tagged with the step that produced it.
has_alerts() is a convenience predicate. Every incident is captured here,
including warnings a step raises internally (for example a calibration that
could not meet its constraints), so this is the reliable channel for
programmatic quality control even when warnings were suppressed.
Arguments
- object
a prepped_weighting_spec, as returned by
prep().
Value
weighting_alerts(): a character vector (empty if the recipe ran
clean). has_alerts(): a single logical.
See also
Other cascade audit:
as_sae_input(),
collect_propensities(),
collect_step_detail(),
collect_weights(),
domain_summary(),
weight_factors()
Examples
fit <- weighting_spec(sample_survey, base_weights = pw) |>
step_trim(max_ratio = 3) |>
prep()
weighting_alerts(fit)
#> character(0)
has_alerts(fit)
#> [1] FALSE