Assemble pre-computed creel estimates into a report-ready wide tibble

Accepts a named list of pre-computed creel_estimates objects (from estimate_effort(), estimate_catch_rate(), etc.) and joins them into a single wide tibble — one row per stratum with all estimate types as prefixed columns.

Usage

season_summary(estimates, ...)

Arguments

estimates

A named list of creel_estimates objects. Names become column prefixes in the wide tibble (e.g., list(effort = ..., cpue = ...)).

...

Reserved for future arguments.

Value

A creel_season_summary object (S3 list) with:

• $table: A wide tibble — columns prefixed by list element name.

• $names: Character vector of input list element names.

• $n_estimates: Integer count of estimates assembled.

Details

Note: season_summary() performs no re-estimation. All statistical computations must be done before calling this function.

See also

Other "Reporting & Diagnostics": adjust_nonresponse(), check_completeness(), compare_variance(), flag_outliers(), 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()

Examples

if (FALSE) { # \dontrun{
result <- season_summary(list(effort = my_effort, cpue = my_cpue))
result$table
write_schedule(result$table, "season_2024.csv")
} # }