Package index • tidycreel

Survey Design

Build a creel survey design object and attach observational data. All estimation functions accept a creel_design object as their first argument.

creel_design(): Create a creel survey design
add_counts(): Attach count data to a creel design
prep_counts_daily_effort(): Standardize sampled-day effort rows for count-based workflows
prep_counts_boat_party(): Standardize boat-party sampled-day effort rows
add_interviews(): Attach interview data to a creel design
prep_interviews_trips(): Standardize trip/interview rows for interview-based workflows
prep_interview_catch(): Standardize long catch-table rows for interview-based workflows
add_catch(): Attach species-level catch data to a creel design
add_lengths(): Attach fish length frequency data to a creel design
add_sections(): Register spatial sections for a creel survey design
as_survey_design(): Extract internal survey design object for advanced use
est_effort_camera(): Estimate angler effort from camera/time-lapse count data
as_hybrid_svydesign() experimental: Construct a hybrid access + roving survey design
print(<creel_hybrid_svydesign>): Print a creel_hybrid_svydesign
compute_effort(): Resolve fishing effort from timestamps or self-reported time
compute_angler_effort(): Normalize fishing effort to angler-hours
creel_schema(): Column-mapping contract for tidycreel data sources
validate_creel_schema(): Validate a creel_schema object

Estimation

Design-based estimators for effort, catch rates, and totals. Functions dispatch automatically on survey type.

estimate_effort(): Estimate total effort from a creel survey design
estimate_effort_aerial_glmm(): GLMM-based aerial effort estimation with diurnal correction
estimate_catch_rate(): Estimate CPUE (Catch Per Unit Effort) from a creel survey design
estimate_harvest_rate(): Estimate harvest (HPUE: Harvest Per Unit Effort) from a creel survey design
estimate_release_rate(): Estimate release rate (RPUE: Released fish Per Unit Effort) from a creel survey design
estimate_total_catch(): Estimate total catch by combining effort and CPUE
estimate_total_harvest(): Estimate total harvest by combining effort and HPUE
estimate_total_release(): Estimate total extrapolated release by combining effort and release rate
estimate_exploitation_rate(): Estimate exploitation rate using the Pollock et al. moment estimator
est_length_distribution(): Estimate a weighted length distribution from creel interview data

Reporting & Diagnostics

Summarize interview data by angler characteristics, validate designs, check data completeness, and inspect estimate output.

summarize_trips(): Summarize trip metadata for interview data
summarize_refusals(): Tabulate refused vs accepted interviews by month
summarize_by_day_type(): Tabulate interviews by day type and month
summarize_by_angler_type(): Tabulate interviews by angler type and month
summarize_by_method(): Tabulate interviews by fishing method and month
summarize_by_species_sought(): Tabulate interviews by species sought and month
summarize_by_trip_length(): Tabulate interviews by trip length bin
summarize_cws_rates(): Compute caught-while-sought (CWS) rates by group
summarize_hws_rates(): Compute harvested-while-sought (HWS) rates by group
summarize_length_freq(): Compute length frequency distribution from creel interview data
summarize_successful_parties(): Tabulate successful parties by angler type and species sought
season_summary(): Assemble pre-computed creel estimates into a report-ready wide tibble
summary(<creel_estimates>): Summarise creel survey estimates as a formatted table
flag_outliers(): Flag outliers in a creel interview data column
write_estimates(): Export creel survey estimates to a file
validate_incomplete_trips(): Validate incomplete trip estimates using TOST equivalence testing
validate_design(): Validate a proposed creel survey design against sample size targets
check_completeness(): Check post-season data completeness for a creel design
compare_variance(): Compare Taylor linearization vs. replicate variance for creel estimates
adjust_nonresponse(): Adjust a creel design for nonresponse bias
validate_creel_data(): Validate creel survey data frames
print(<creel_data_validation>): Print a creel_data_validation result
as.data.frame(<creel_data_validation>): Coerce a creel_data_validation to a plain data frame
standardize_species(): Standardize species names to AFS codes
validation_report(): Generate a validation summary report
print(<creel_validation_report>): Print a creel_validation_report
as.data.frame(<creel_validation_report>): Coerce a creel_validation_report to a plain data frame

Planning & Sample Size

Pre-survey tools for sample size determination, power analysis, and design comparison.

power_creel(): Unified sample-size and power interface for creel surveys
creel_n_effort(): Calculate sampling days required to achieve a target CV on effort
creel_n_cpue(): Calculate interviews required to achieve a target CV on CPUE
creel_power(): Estimate statistical power to detect a change in CPUE between seasons
cv_from_n(): Compute the expected CV achievable with a known sample size
compare_designs() experimental: Compare multiple survey design estimates side by side
print(<creel_design_comparison>): Print a creel_design_comparison
autoplot(<creel_design_comparison>): Autoplot a creel_design_comparison as a forest plot
as.data.frame(<creel_design_comparison>): Coerce a creel_design_comparison to a plain data frame

Scheduling

Generate, validate, read, and write creel survey schedules.

generate_schedule(): Generate a creel survey sampling schedule
generate_bus_schedule(): Generate a bus-route sampling frame
generate_count_times(): Generate within-day count time windows
attach_count_times(): Attach count time windows to a daily sampling schedule
new_creel_schedule(): Create a creel_schedule S3 object
validate_creel_schedule(): Validate a creel_schedule object
read_schedule(): Read a schedule file into a validated creel_schedule object
write_schedule(): Write a creel schedule to a CSV or xlsx file

Bus-Route Helpers

Exported helpers for bus-route Horvitz-Thompson estimation components. For advanced users who need direct access to enumeration values.

get_enumeration_counts(): Get enumeration counts from a bus-route creel design with interviews
get_inclusion_probs(): Get inclusion probabilities from a bus-route design
get_sampling_frame(): Extract the sampling frame from a bus-route creel design
get_site_contributions(): Extract per-site effort contributions from a bus-route estimate

Camera Survey

Preprocessing for camera-monitored creel surveys.

preprocess_camera_timestamps(): Preprocess camera ingress-egress timestamps

Visualisation

ggplot2-based plotting methods for creel designs, estimates, and schedules.

plot_design(): Plot a creel survey design
autoplot(<creel_estimates>): Plot creel survey estimates with ggplot2
autoplot(<creel_length_distribution>): Plot a weighted length distribution with ggplot2
autoplot(<creel_schedule>): Plot a creel schedule as a ggplot2 tile calendar
theme_creel(): Package-standard ggplot2 theme for tidycreel plots
creel_palette(): Package-standard colour palette for tidycreel plots

Example Datasets

Simulated datasets illustrating each supported survey type. Used in vignettes and function examples.

example_calendar: Example calendar data for creel survey
example_counts: Example count data for creel survey
example_interviews: Example interview data for creel survey
example_catch: Example species catch data for creel survey
example_lengths: Example fish length data for creel survey
example_sections_calendar: Example calendar for spatially stratified creel survey
example_sections_counts: Example effort counts for spatially stratified creel survey
example_sections_interviews: Example interview data for spatially stratified creel survey
example_ice_sampling_frame: Example sampling frame for ice fishing creel survey
example_ice_interviews: Example interview data for ice fishing creel survey
example_camera_counts: Example camera counts dataset (counter mode)
example_camera_timestamps: Example camera timestamps dataset (ingress-egress mode)
example_camera_interviews: Example interview data for camera-monitored creel survey
example_aerial_counts: Example aerial angler count dataset
example_aerial_interviews: Example angler interview data for aerial creel survey
example_aerial_glmm_counts: Example multi-flight aerial count data for GLMM effort estimation
creel_counts_toy: Toy count data for data validation examples
creel_interviews_toy: Toy interview data for data validation examples