Check post-season data completeness for a creel design

Dispatches by survey_type to avoid false-positive warnings on aerial and camera designs that do not collect interview data.

Usage

check_completeness(design, n_min = 10L)

Arguments

design

A creel_design object with counts (and optionally interviews) attached.

n_min

Integer scalar >= 1. Interview threshold below which a stratum is flagged as low-n. Default 10L.

Value

A creel_completeness_report object (S3 list) with:

$missing_days

data.frame of calendar rows with no count data

$low_n_strata

data.frame of strata below n_min, or NULL for aerial/camera

$refusals

creel_summary_refusals object or NULL

$n_min

integer threshold used

$survey_type

character

$passed

logical – TRUE if no missing days and no low-n strata

See also

Other "Reporting & Diagnostics": adjust_nonresponse(), compare_variance(), flag_outliers(), season_summary(), standardize_species(), summarize_by_angler_type(), summarize_by_day_type(), summarize_by_method(), summarize_by_species_sought(), summarize_by_trip_length(), 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()