Tidy a creel_estimates object into a flat tibble
Value
A tibble with one row per estimate. All columns from
x$estimates are returned, plus n padded to
NA_integer_ when the estimator does not produce a sample size
(e.g. mark-recapture harvest). Guaranteed columns:
estimate, se, ci_lower, ci_upper, n.
Lossy for uncertainty components. Named components – the
x$se_components list, and the se_expansion slot it mirrors –
stay on the object and are deliberately not returned as columns. The
contract distinguishes a component that does not apply or was never
propagated (an absent name) from one that applies but is unknown
(NA), and a tibble column collapses both to NA –
reintroducing exactly the ambiguity the absent name was chosen to prevent.
Read them from the object (x$se_components) or from print(),
which also states each component's relationship to se.
Note also that se_between and se_within, where present, do
not reconstruct se on designs carrying a party-size expansion: the
expansion term is a third contribution and is not among the visible
columns.
See also
Other "Reporting & Diagnostics":
adjust_nonresponse(),
check_completeness(),
compare_variance(),
flag_outliers(),
season_summary(),
standardize_species(),
summarize_boat_composition(),
summarize_by_angler_type(),
summarize_by_county(),
summarize_by_day_type(),
summarize_by_method(),
summarize_by_species_sought(),
summarize_by_trip_length(),
summarize_by_zip(),
summarize_cws_rates(),
summarize_hws_rates(),
summarize_length_freq(),
summarize_refusals(),
summarize_successful_parties(),
summarize_trips(),
summary.creel_estimates(),
validate_creel_data(),
validate_design(),
validate_incomplete_trips(),
validation_report(),
write_estimates()