Validate a proposed creel survey design against sample size targets

Pre-season design check: runs creel_n_effort() and creel_n_cpue() per stratum and returns a pass/warn/fail status report.

Usage

validate_design(
  N_h,
  ybar_h,
  s2_h,
  n_proposed,
  cv_target,
  type = c("effort", "cpue"),
  cv_catch = NULL,
  cv_effort = NULL,
  rho = 0
)

Arguments

N_h

Named numeric vector. Total available sampling days per stratum.

ybar_h

Numeric vector (same length as N_h). Pilot mean effort per day per stratum.

s2_h

Numeric vector (same length as N_h). Pilot variance of effort per stratum.

n_proposed

Named integer vector (same length as N_h). Proposed sampling days per stratum.

cv_target

Numeric scalar. Target CV for the effort estimate.

type

Character. One of "effort" or "cpue". Default "effort".

cv_catch

Numeric scalar. Required when type = "cpue".

cv_effort

Numeric scalar. Required when type = "cpue".

rho

Numeric scalar. Correlation between catch and effort. Default 0.

Value

A creel_design_report object (S3 list) with:

$results

tibble with columns stratum, status, n_proposed, n_required, cv_actual, cv_target, message

$passed

logical – TRUE if all strata status == "pass"

$survey_type

character

See also

Other "Reporting & Diagnostics": adjust_nonresponse(), check_completeness(), 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_incomplete_trips(), validation_report(), write_estimates()