Tidy Interface for Creel Survey Design and Analysis

Documentation for package ‘tidycreel’ version 8.0.0

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-- A --

add_ages	Attach age data to a creel design
add_catch	Attach species-level catch data to a creel design
add_counts	Attach count data to a creel design
add_interviews	Attach interview 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
adjust_nonresponse	Adjust a creel design for nonresponse bias
as.data.frame.creel_data_validation	Coerce a creel_data_validation to a plain data frame
as.data.frame.creel_design_comparison	Coerce a creel_design_comparison to a plain data frame
as.data.frame.creel_validation_report	Coerce a creel_validation_report to a plain data frame
as.data.frame.creel_variance_comparison	Coerce creel_variance_comparison to data.frame
as_creel_svydesign	Extract internal survey design object for advanced use
as_hybrid_svydesign	Combine disjoint count frames into one stratified survey design
attach_count_times	Attach count time windows to a daily sampling schedule
audit_strata	Audit per-stratum effort precision from a completed creel design or pilot statistics
audit_strata.creel_design	Audit per-stratum effort precision from a completed creel design or pilot statistics
audit_strata.default	Audit per-stratum effort precision from a completed creel design or pilot statistics
autoplot.creel_design_comparison	Autoplot a creel_design_comparison as a forest plot
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

-- C --

check_completeness	Check post-season data completeness for a creel design
compare_cpue_estimators	Compare CPUE estimators (ROM, MOR, Regression)
compare_designs	Compare multiple survey design estimates side by side
compare_variance	Compare Taylor linearization vs. replicate variance for creel estimates
compute_angler_effort	Normalize fishing effort to angler-hours
compute_effort	Resolve fishing effort from timestamps or self-reported time
creel_confidence_intervals	Confidence interval conventions in tidycreel
creel_counts_toy	Toy count data for data validation examples
creel_design	Create a creel survey design
creel_interviews_toy	Toy interview data for data validation examples
creel_n_camera	Calculate camera-days required to achieve a target CV
creel_n_cpue	Calculate interviews required to achieve a target CV on CPUE
creel_n_effort	Calculate sampling days required to achieve a target CV on effort
creel_palette	Package-standard colour palette for tidycreel plots
creel_power	Estimate statistical power to detect a change in CPUE between seasons
creel_schema	Column-mapping contract for tidycreel data sources
creel_vocabulary	Canonical vocabularies for the coded columns
cv_from_n	Compute the expected CV achievable with a known sample size

-- D --

day_length	Day length for a latitude and date
derive_angler_count	Derive an angler count from its components

-- E --

estimate_angler_n	Estimate angler population size via closed-population mark-recapture
estimate_angler_trips	Estimate angler trips from extrapolated effort
estimate_catch_rate	Estimate CPUE (Catch Per Unit Effort) from a creel survey design
estimate_effort	Estimate total effort from a creel survey design
estimate_effort_aerial_glmm	GLMM-based aerial effort estimation with diurnal correction
estimate_effort_per_acre	Compute effort density as effort per acre
estimate_exploitation_rate	Estimate exploitation rate using the Pollock et al. moment estimator
estimate_harvest_rate	Estimate harvest (HPUE: Harvest Per Unit Effort) from a creel survey design
estimate_mr_harvest	Estimate total harvest from a mark-recapture population estimate
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
est_age_distribution	Estimate a weighted age distribution from creel interview data
est_biomass	Estimate total biomass from a creel length distribution
est_compliance	Estimate design-weighted size-limit compliance from a creel length distribution
est_effort_camera	Estimate angler effort from camera/time-lapse count data
est_effort_camera_mi	Pool camera effort estimates across multiply imputed count data sets
est_length_distribution	Estimate a weighted length distribution from creel interview data
est_mean_age	Estimate design-weighted mean age from a creel age distribution
est_mean_length	Estimate design-weighted mean length from a creel length distribution
example_aerial_counts	Example aerial angler count dataset
example_aerial_glmm_counts	Example multi-flight aerial count data for GLMM effort estimation
example_aerial_interviews	Example angler interview data for aerial creel survey
example_ages	Example fish age data for creel estimation
example_calendar	Example calendar data for creel survey
example_camera_counts	Example camera counts dataset (counter mode)
example_camera_interviews	Example interview data for camera-monitored creel survey
example_camera_timestamps	Example camera timestamps dataset (ingress-egress mode)
example_catch	Example species catch data for creel survey
example_counts	Example count data for creel survey
example_ice_interviews	Example interview data for ice fishing creel survey
example_ice_sampling_frame	Example sampling frame for ice fishing creel survey
example_interviews	Example interview 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

-- F --

flag_outliers	Flag outliers in a creel interview data column
format.creel_completeness_report	Format creel_completeness_report for printing
format.creel_design	Format a creel_design object
format.creel_design_report	Format creel_design_report for printing
format.creel_estimates	Format creel_estimates for printing
format.creel_estimates_diagnostic	Format creel_estimates_diagnostic for printing
format.creel_estimates_mor	Format creel_estimates_mor for printing
format.creel_schedule	Format a creel_schedule for console printing
format.creel_schema	Format method for creel_schema
format.creel_season_summary	Format a creel_season_summary object
format.creel_tost_validation	Format creel_tost_validation for printing
format.creel_validation	Format creel_validation for printing

-- G --

generate_bus_schedule	Generate a bus-route sampling frame
generate_count_times	Generate within-day count time windows
generate_progressive_start	Schedule progressive count circuit start times
generate_schedule	Generate a creel survey sampling schedule
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

-- I --

impute_camera_counts

Impute missing camera counts using GLM or GLMM

-- M --

mean_party_size

Mean anglers per boat party from interviews

-- N --

new_creel_schedule

Create a creel_schedule S3 object

-- O --

optimal_n

Calculate sampling days required under Neyman-optimal allocation

-- P --

plot_design	Plot a creel survey design
power_creel	Unified sample-size and power interface for creel surveys
preprocess_camera_timestamps	Preprocess camera ingress-egress timestamps
prep_counts_boat_party	Standardize boat-party sampled-day effort rows
prep_counts_daily_effort	Standardize sampled-day effort rows for count-based workflows
prep_interviews_trips	Standardize trip/interview rows for interview-based workflows
prep_interview_catch	Standardize long catch-table rows for interview-based workflows
print.creel_completeness_report	Print creel_completeness_report
print.creel_data_validation	Print a creel_data_validation result
print.creel_design	Print a creel_design object
print.creel_design_comparison	Print a creel_design_comparison
print.creel_design_report	Print creel_design_report
print.creel_estimates	Print creel_estimates
print.creel_estimates_diagnostic	Print creel_estimates_diagnostic
print.creel_estimates_mor	Print creel_estimates_mor
print.creel_hybrid_svydesign	Print a creel_hybrid_svydesign
print.creel_schedule	Print a creel_schedule as a monthly calendar grid
print.creel_schema	Print method for creel_schema
print.creel_season_summary	Print a creel_season_summary object
print.creel_summary	Print a creel_summary object
print.creel_tost_validation	Print creel_tost_validation
print.creel_validation	Print creel_validation
print.creel_validation_report	Print a creel_validation_report
print.creel_variance_comparison	Print a creel_variance_comparison object

-- R --

read_schedule	Read a schedule file into a validated creel_schedule object
reallocate_strata	Compute Neyman-optimal sample allocation across strata

-- S --

season_summary	Assemble pre-computed creel estimates into a report-ready wide tibble
simulate_creel_catch	Simulate catch counts from a distributional family
simulate_creel_data	Simulate a complete creel survey dataset
simulate_strata_collapse	Simulate the effect of collapsing strata on precision
standardize_species	Standardize species names to AFS codes
summarize_boat_composition	Tabulate boat composition by month and day type
summarize_by_angler_type	Tabulate interviews by angler type and month
summarize_by_county	Tabulate interviews by county of origin
summarize_by_day_type	Tabulate interviews by day 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_by_zip	Tabulate interviews by zip code of origin
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_refusals	Tabulate refused vs accepted interviews by month
summarize_successful_parties	Tabulate successful parties by angler type and species sought
summarize_trips	Summarize trip metadata for interview data
summary.creel_estimates	Summarise creel survey estimates as a formatted table

-- T --

theme_creel	Package-standard ggplot2 theme for tidycreel plots
tidy.creel_estimates	Tidy a creel_estimates object into a flat tibble

-- V --

validate_creel_data	Validate creel survey data frames
validate_creel_schedule	Validate a creel_schedule object
validate_creel_schema	Validate a creel_schema object
validate_design	Validate a proposed creel survey design against sample size targets
validate_incomplete_trips	Validate incomplete trip estimates using TOST equivalence testing
validation_report	Generate a validation summary report

-- W --

write_estimates	Export creel survey estimates to a file
write_schedule	Write a creel schedule to a CSV or xlsx file