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  "Title": "Tidy Interface for Creel Survey Design and Analysis",
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  "Authors@R": "person(given = \"Christopher\", family = \"Chizinski\", role = c(\"aut\", \"cre\", \"cph\"),\nemail = \"cchizinski2@unl.edu\",\ncomment = c(ORCID = \"0000-0001-9294-2588\"))",
  "Description": "Provides a tidy, pipe-friendly interface for creel survey\ndesign, data management, estimation, visualisation, and\nreporting. A creel survey interviews anglers on site to\nestimate fishing effort, catch, and harvest for a water body.\nBuilt on the 'survey' package for design-based inference, with\nsupport for instantaneous, bus-route, ice, camera, and aerial\ndesigns. Catch-rate estimators follow Hoenig, Jones, Pollock,\nRobson and Wade (1997) <doi:10.2307/2533116>; bus-route designs\nfollow Kinloch, McGlennon, Nicoll and Pike (1997)\n<doi:10.1016/s0165-7836(97)00068-4>.",
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  "Repository": "https://chrischizinski.r-universe.dev",
  "Date/Publication": "2026-10-21 21:36:13 UTC",
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  "Author": "Christopher Chizinski [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0001-9294-2588>)",
  "Maintainer": "Christopher Chizinski <cchizinski2@unl.edu>",
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  "_created": "2026-10-22T00:16:39.000Z",
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    "message": "fix: user-facing messages no longer cite Phase 19 or tests that do not exist (#548) (#556)\n\nThe incomplete-trip messages named an internal development phase, and the\ndiagnostic print listed three tests, two of which (nonstationary catch\nrates, length-of-stay bias) the package does not have. It now names\nvalidate_incomplete_trips(), a TOST equivalence test. Also drops\n\"Phase 28\" from the add_interviews() angler_type docs.",
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    "add_counts",
    "add_interviews",
    "add_lengths",
    "add_sections",
    "adjust_nonresponse",
    "as_creel_svydesign",
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    "attach_count_times",
    "audit_strata",
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    "compare_cpue_estimators",
    "compare_designs",
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    "compute_angler_effort",
    "compute_effort",
    "creel_design",
    "creel_n_camera",
    "creel_n_cpue",
    "creel_n_effort",
    "creel_palette",
    "creel_power",
    "creel_schema",
    "creel_vocabulary",
    "cv_from_n",
    "day_length",
    "daylight_shifts",
    "derive_angler_count",
    "est_age_distribution",
    "est_biomass",
    "est_compliance",
    "est_effort_camera",
    "est_effort_camera_mi",
    "est_length_distribution",
    "est_mean_age",
    "est_mean_length",
    "estimate_angler_n",
    "estimate_angler_trips",
    "estimate_catch_rate",
    "estimate_effort",
    "estimate_effort_aerial_glmm",
    "estimate_effort_per_acre",
    "estimate_exploitation_rate",
    "estimate_harvest_rate",
    "estimate_mr_harvest",
    "estimate_release_rate",
    "estimate_total_catch",
    "estimate_total_harvest",
    "estimate_total_release",
    "flag_outliers",
    "generate_bus_schedule",
    "generate_count_times",
    "generate_progressive_start",
    "generate_schedule",
    "get_enumeration_counts",
    "get_inclusion_probs",
    "get_sampling_frame",
    "get_site_contributions",
    "get_warnings",
    "impute_camera_counts",
    "mean_party_size",
    "new_creel_schedule",
    "optimal_n",
    "plot_design",
    "power_creel",
    "prep_counts_boat_party",
    "prep_counts_daily_effort",
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    "summarize_by_angler_type",
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    "summarize_trips",
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      "object": "creel_counts_toy",
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        "trip_status",
        "hours_fished",
        "walleye_catch",
        "walleye_kept",
        "bass_catch",
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        "n_anglers"
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      "title": "Example fish age data for creel estimation",
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      "class": [
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        "species",
        "age",
        "age_type"
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      "table": true,
      "tojson": true
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    {
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      "title": "Example calendar data for creel survey",
      "object": "example_calendar",
      "class": [
        "data.frame"
      ],
      "fields": [
        "date",
        "day_type"
      ],
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      "table": true,
      "tojson": true
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    {
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      "title": "Example camera counts dataset (counter mode)",
      "object": "example_camera_counts",
      "class": [
        "data.frame"
      ],
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        "date",
        "day_type",
        "ingress_count",
        "camera_status"
      ],
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      "table": true,
      "tojson": true
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    {
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      "title": "Example interview data for camera-monitored creel survey",
      "object": "example_camera_interviews",
      "class": [
        "data.frame"
      ],
      "fields": [
        "date",
        "day_type",
        "trip_status",
        "hours_fished",
        "walleye",
        "walleye_kept",
        "bass",
        "bass_kept"
      ],
      "rows": 40,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_camera_timestamps",
      "title": "Example camera timestamps dataset (ingress-egress mode)",
      "object": "example_camera_timestamps",
      "class": [
        "data.frame"
      ],
      "fields": [
        "date",
        "day_type",
        "ingress_time",
        "egress_time"
      ],
      "rows": 14,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_catch",
      "title": "Example species catch data for creel survey",
      "object": "example_catch",
      "class": [
        "data.frame"
      ],
      "fields": [
        "interview_id",
        "species",
        "count",
        "catch_type"
      ],
      "rows": 42,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_counts",
      "title": "Example count data for creel survey",
      "object": "example_counts",
      "class": [
        "data.frame"
      ],
      "fields": [
        "date",
        "day_type",
        "effort_hours"
      ],
      "rows": 14,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_ice_interviews",
      "title": "Example interview data for ice fishing creel survey",
      "object": "example_ice_interviews",
      "class": [
        "data.frame"
      ],
      "fields": [
        "date",
        "n_counted",
        "n_interviewed",
        "hours_on_ice",
        "active_fishing_hours",
        "walleye_catch",
        "perch_catch",
        "walleye_kept",
        "perch_kept",
        "trip_status",
        "shelter_mode",
        "n_anglers"
      ],
      "rows": 72,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_ice_sampling_frame",
      "title": "Example sampling frame for ice fishing creel survey",
      "object": "example_ice_sampling_frame",
      "class": [
        "data.frame"
      ],
      "fields": [
        "date",
        "day_type",
        "p_period"
      ],
      "rows": 12,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_interviews",
      "title": "Example interview data for creel survey",
      "object": "example_interviews",
      "class": [
        "data.frame"
      ],
      "fields": [
        "date",
        "hours_fished",
        "catch_total",
        "catch_kept",
        "trip_status",
        "trip_duration",
        "interview_id",
        "angler_type",
        "angler_method",
        "species_sought",
        "n_anglers",
        "refused"
      ],
      "rows": 22,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_lengths",
      "title": "Example fish length data for creel survey",
      "object": "example_lengths",
      "class": [
        "data.frame"
      ],
      "fields": [
        "interview_id",
        "species",
        "length",
        "length_type",
        "count"
      ],
      "rows": 20,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_roving_interviews",
      "title": "Example roving interviews for a creel survey",
      "object": "example_roving_interviews",
      "class": [
        "data.frame"
      ],
      "fields": [
        "date",
        "day_type",
        "interview_id",
        "trip_status",
        "hours_fished",
        "n_anglers",
        "catch_total",
        "catch_kept"
      ],
      "rows": 212,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_season_calendar",
      "title": "Example season calendar for a creel survey",
      "object": "example_season_calendar",
      "class": [
        "data.frame"
      ],
      "fields": [
        "date",
        "day_type",
        "sampled"
      ],
      "rows": 120,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_season_counts",
      "title": "Example season counts for a creel survey",
      "object": "example_season_counts",
      "class": [
        "data.frame"
      ],
      "fields": [
        "date",
        "day_type",
        "total_anglers",
        "daylight_hours"
      ],
      "rows": 36,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_season_interviews",
      "title": "Example season interviews for a creel survey",
      "object": "example_season_interviews",
      "class": [
        "data.frame"
      ],
      "fields": [
        "date",
        "day_type",
        "interview_id",
        "trip_status",
        "hours_fished",
        "n_anglers",
        "catch_total",
        "catch_kept"
      ],
      "rows": 231,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_sections_calendar",
      "title": "Example calendar for spatially stratified creel survey",
      "object": "example_sections_calendar",
      "class": [
        "data.frame"
      ],
      "fields": [
        "date",
        "day_type"
      ],
      "rows": 12,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_sections_counts",
      "title": "Example effort counts for spatially stratified creel survey",
      "object": "example_sections_counts",
      "class": [
        "data.frame"
      ],
      "fields": [
        "date",
        "day_type",
        "section",
        "effort_hours"
      ],
      "rows": 36,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_sections_interviews",
      "title": "Example interview data for spatially stratified creel survey",
      "object": "example_sections_interviews",
      "class": [
        "data.frame"
      ],
      "fields": [
        "date",
        "day_type",
        "section",
        "catch_total",
        "catch_kept",
        "hours_fished",
        "trip_status",
        "trip_duration",
        "interview_id"
      ],
      "rows": 27,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "add_ages",
      "title": "Attach age data to a creel design",
      "topics": [
        "add_ages"
      ]
    },
    {
      "page": "add_catch",
      "title": "Attach species-level catch data to a creel design",
      "concept": [
        "\"Survey Design\""
      ],
      "topics": [
        "add_catch"
      ]
    },
    {
      "page": "add_counts",
      "title": "Attach count data to a creel design",
      "concept": [
        "\"Survey Design\""
      ],
      "topics": [
        "add_counts"
      ]
    },
    {
      "page": "add_interviews",
      "title": "Attach interview data to a creel design",
      "concept": [
        "\"Survey Design\""
      ],
      "topics": [
        "add_interviews"
      ]
    },
    {
      "page": "add_lengths",
      "title": "Attach fish length frequency data to a creel design",
      "concept": [
        "\"Survey Design\""
      ],
      "topics": [
        "add_lengths"
      ]
    },
    {
      "page": "add_sections",
      "title": "Register spatial sections for a creel survey design",
      "concept": [
        "\"Survey Design\""
      ],
      "topics": [
        "add_sections"
      ]
    },
    {
      "page": "adjust_nonresponse",
      "title": "Adjust a creel design for nonresponse bias",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "adjust_nonresponse"
      ]
    },
    {
      "page": "as_creel_svydesign",
      "title": "Extract internal survey design object for advanced use",
      "concept": [
        "\"Survey Design\""
      ],
      "topics": [
        "as_creel_svydesign"
      ]
    },
    {
      "page": "as_hybrid_svydesign",
      "title": "Combine disjoint count frames into one stratified survey design",
      "concept": [
        "\"Survey Design\""
      ],
      "topics": [
        "as_hybrid_svydesign"
      ]
    },
    {
      "page": "as_tibble.creel_estimates",
      "title": "Convert estimates to a tibble or data frame",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "as.data.frame.creel_estimates",
        "as_tibble.creel_estimates"
      ]
    },
    {
      "page": "as.data.frame.creel_data_validation",
      "title": "Coerce a creel_data_validation to a plain data frame",
      "topics": [
        "as.data.frame.creel_data_validation"
      ]
    },
    {
      "page": "as.data.frame.creel_design_comparison",
      "title": "Coerce a creel_design_comparison to a plain data frame",
      "topics": [
        "as.data.frame.creel_design_comparison"
      ]
    },
    {
      "page": "as.data.frame.creel_validation_report",
      "title": "Coerce a creel_validation_report to a plain data frame",
      "topics": [
        "as.data.frame.creel_validation_report"
      ]
    },
    {
      "page": "as.data.frame.creel_variance_comparison",
      "title": "Coerce creel_variance_comparison to data.frame",
      "topics": [
        "as.data.frame.creel_variance_comparison"
      ]
    },
    {
      "page": "attach_count_times",
      "title": "Attach count time windows to a daily sampling schedule",
      "concept": [
        "\"Scheduling\""
      ],
      "topics": [
        "attach_count_times"
      ]
    },
    {
      "page": "audit_strata",
      "title": "Audit per-stratum effort precision from a completed creel design or pilot statistics",
      "concept": [
        "\"Planning & Sample Size\""
      ],
      "topics": [
        "audit_strata",
        "audit_strata.creel_design",
        "audit_strata.default"
      ]
    },
    {
      "page": "autoplot.creel_design_comparison",
      "title": "Autoplot a creel_design_comparison as a forest plot",
      "topics": [
        "autoplot.creel_design_comparison"
      ]
    },
    {
      "page": "autoplot.creel_estimates",
      "title": "Plot creel survey estimates with ggplot2",
      "concept": [
        "\"Visualisation\""
      ],
      "topics": [
        "autoplot.creel_estimates"
      ]
    },
    {
      "page": "autoplot.creel_length_distribution",
      "title": "Plot a weighted length distribution with ggplot2",
      "concept": [
        "\"Visualisation\""
      ],
      "topics": [
        "autoplot.creel_length_distribution"
      ]
    },
    {
      "page": "autoplot.creel_schedule",
      "title": "Plot a creel schedule as a ggplot2 tile calendar",
      "concept": [
        "\"Visualisation\""
      ],
      "topics": [
        "autoplot.creel_schedule"
      ]
    },
    {
      "page": "check_completeness",
      "title": "Check post-season data completeness for a creel design",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "check_completeness"
      ]
    },
    {
      "page": "compare_cpue_estimators",
      "title": "Compare CPUE estimators (ROM, MOR, Regression)",
      "concept": [
        "\"Estimation\""
      ],
      "topics": [
        "compare_cpue_estimators"
      ]
    },
    {
      "page": "compare_designs",
      "title": "Compare multiple survey design estimates side by side",
      "concept": [
        "\"Planning & Sample Size\""
      ],
      "topics": [
        "compare_designs"
      ]
    },
    {
      "page": "compare_variance",
      "title": "Compare Taylor linearization vs. replicate variance for creel estimates",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "compare_variance"
      ]
    },
    {
      "page": "compute_angler_effort",
      "title": "Normalize fishing effort to angler-hours",
      "concept": [
        "\"Survey Design\""
      ],
      "topics": [
        "compute_angler_effort"
      ]
    },
    {
      "page": "compute_effort",
      "title": "Resolve fishing effort from timestamps or self-reported time",
      "concept": [
        "\"Survey Design\""
      ],
      "topics": [
        "compute_effort"
      ]
    },
    {
      "page": "creel_confidence_intervals",
      "title": "Confidence interval conventions in tidycreel",
      "topics": [
        "creel_confidence_intervals"
      ]
    },
    {
      "page": "creel_counts_toy",
      "title": "Toy count data for data validation examples",
      "concept": [
        "\"Example Datasets\""
      ],
      "topics": [
        "creel_counts_toy"
      ]
    },
    {
      "page": "creel_design",
      "title": "Create a creel survey design",
      "concept": [
        "\"Survey Design\""
      ],
      "topics": [
        "creel_design"
      ]
    },
    {
      "page": "creel_interviews_toy",
      "title": "Toy interview data for data validation examples",
      "concept": [
        "\"Example Datasets\""
      ],
      "topics": [
        "creel_interviews_toy"
      ]
    },
    {
      "page": "creel_n_camera",
      "title": "Calculate camera-days required to achieve a target CV",
      "concept": [
        "\"Planning & Sample Size\""
      ],
      "topics": [
        "creel_n_camera"
      ]
    },
    {
      "page": "creel_n_cpue",
      "title": "Calculate interviews required to achieve a target CV on CPUE",
      "concept": [
        "\"Planning & Sample Size\""
      ],
      "topics": [
        "creel_n_cpue"
      ]
    },
    {
      "page": "creel_n_effort",
      "title": "Calculate sampling days required to achieve a target CV on effort",
      "concept": [
        "\"Planning & Sample Size\""
      ],
      "topics": [
        "creel_n_effort"
      ]
    },
    {
      "page": "creel_palette",
      "title": "Package-standard colour palette for tidycreel plots",
      "concept": [
        "\"Visualisation\""
      ],
      "topics": [
        "creel_palette"
      ]
    },
    {
      "page": "creel_power",
      "title": "Estimate statistical power to detect a change in CPUE between seasons",
      "concept": [
        "\"Planning & Sample Size\""
      ],
      "topics": [
        "creel_power"
      ]
    },
    {
      "page": "creel_schema",
      "title": "Column-mapping contract for tidycreel data sources",
      "concept": [
        "\"Survey Design\""
      ],
      "topics": [
        "creel_schema"
      ]
    },
    {
      "page": "creel_vocabulary",
      "title": "Canonical vocabularies for the coded columns",
      "concept": [
        "\"Survey Design\""
      ],
      "topics": [
        "creel_vocabulary"
      ]
    },
    {
      "page": "creel_warnings",
      "title": "Warning classes",
      "topics": [
        "creel_warnings"
      ]
    },
    {
      "page": "cv_from_n",
      "title": "Compute the expected CV achievable with a known sample size",
      "concept": [
        "\"Planning & Sample Size\""
      ],
      "topics": [
        "cv_from_n"
      ]
    },
    {
      "page": "day_length",
      "title": "Day length for a latitude and date",
      "concept": [
        "\"Simulation\""
      ],
      "topics": [
        "day_length"
      ]
    },
    {
      "page": "daylight_shifts",
      "title": "Shift times bounded by sunrise and sunset",
      "concept": [
        "\"Scheduling\""
      ],
      "topics": [
        "daylight_shifts"
      ]
    },
    {
      "page": "derive_angler_count",
      "title": "Derive an angler count from its components",
      "concept": [
        "\"Survey Design\""
      ],
      "topics": [
        "derive_angler_count"
      ]
    },
    {
      "page": "est_age_distribution",
      "title": "Estimate a weighted age distribution from creel interview data",
      "concept": [
        "\"Estimation\""
      ],
      "topics": [
        "est_age_distribution"
      ]
    },
    {
      "page": "est_biomass",
      "title": "Estimate total biomass from a creel length distribution",
      "concept": [
        "\"Estimation\""
      ],
      "topics": [
        "est_biomass"
      ]
    },
    {
      "page": "est_compliance",
      "title": "Estimate design-weighted size-limit compliance from a creel length distribution",
      "concept": [
        "\"Estimation\""
      ],
      "topics": [
        "est_compliance"
      ]
    },
    {
      "page": "est_effort_camera",
      "title": "Estimate angler effort from camera/time-lapse count data",
      "concept": [
        "\"Survey Design\""
      ],
      "topics": [
        "est_effort_camera"
      ]
    },
    {
      "page": "est_effort_camera_mi",
      "title": "Pool camera effort estimates across multiply imputed count data sets",
      "concept": [
        "\"Estimation\""
      ],
      "topics": [
        "est_effort_camera_mi"
      ]
    },
    {
      "page": "est_length_distribution",
      "title": "Estimate a weighted length distribution from creel interview data",
      "concept": [
        "\"Estimation\""
      ],
      "topics": [
        "est_length_distribution"
      ]
    },
    {
      "page": "est_mean_age",
      "title": "Estimate design-weighted mean age from a creel age distribution",
      "concept": [
        "\"Estimation\""
      ],
      "topics": [
        "est_mean_age"
      ]
    },
    {
      "page": "est_mean_length",
      "title": "Estimate design-weighted mean length from a creel length distribution",
      "concept": [
        "\"Estimation\""
      ],
      "topics": [
        "est_mean_length"
      ]
    },
    {
      "page": "estimate_angler_n",
      "title": "Estimate angler population size via closed-population mark-recapture",
      "concept": [
        "Estimation"
      ],
      "topics": [
        "estimate_angler_n"
      ]
    },
    {
      "page": "estimate_angler_trips",
      "title": "Estimate angler trips from extrapolated effort",
      "topics": [
        "estimate_angler_trips"
      ]
    },
    {
      "page": "estimate_catch_rate",
      "title": "Estimate CPUE (Catch Per Unit Effort) from a creel survey design",
      "concept": [
        "\"Estimation\""
      ],
      "topics": [
        "estimate_catch_rate"
      ]
    },
    {
      "page": "estimate_effort",
      "title": "Estimate total effort from a creel survey design",
      "concept": [
        "\"Estimation\""
      ],
      "topics": [
        "estimate_effort"
      ]
    },
    {
      "page": "estimate_effort_aerial_glmm",
      "title": "GLMM-based aerial effort estimation with diurnal correction",
      "concept": [
        "\"Estimation\""
      ],
      "topics": [
        "estimate_effort_aerial_glmm"
      ]
    },
    {
      "page": "estimate_effort_per_acre",
      "title": "Compute effort density as effort per acre",
      "topics": [
        "estimate_effort_per_acre"
      ]
    },
    {
      "page": "estimate_exploitation_rate",
      "title": "Estimate exploitation rate using the Pollock et al. moment estimator",
      "concept": [
        "Estimation"
      ],
      "topics": [
        "estimate_exploitation_rate"
      ]
    },
    {
      "page": "estimate_harvest_rate",
      "title": "Estimate harvest (HPUE: Harvest Per Unit Effort) from a creel survey design",
      "concept": [
        "\"Estimation\""
      ],
      "topics": [
        "estimate_harvest_rate"
      ]
    },
    {
      "page": "estimate_mr_harvest",
      "title": "Estimate total harvest from a mark-recapture population estimate",
      "concept": [
        "Estimation"
      ],
      "topics": [
        "estimate_mr_harvest"
      ]
    },
    {
      "page": "estimate_release_rate",
      "title": "Estimate release rate (RPUE: Released fish Per Unit Effort) from a creel survey design",
      "concept": [
        "\"Estimation\""
      ],
      "topics": [
        "estimate_release_rate"
      ]
    },
    {
      "page": "estimate_total_catch",
      "title": "Estimate total catch by combining effort and CPUE",
      "concept": [
        "\"Estimation\""
      ],
      "topics": [
        "estimate_total_catch"
      ]
    },
    {
      "page": "estimate_total_harvest",
      "title": "Estimate total harvest by combining effort and HPUE",
      "concept": [
        "\"Estimation\""
      ],
      "topics": [
        "estimate_total_harvest"
      ]
    },
    {
      "page": "estimate_total_release",
      "title": "Estimate total extrapolated release by combining effort and release rate",
      "concept": [
        "\"Estimation\""
      ],
      "topics": [
        "estimate_total_release"
      ]
    },
    {
      "page": "example_aerial_counts",
      "title": "Example aerial angler count dataset",
      "concept": [
        "\"Example Datasets\""
      ],
      "topics": [
        "example_aerial_counts"
      ]
    },
    {
      "page": "example_aerial_glmm_counts",
      "title": "Example multi-flight aerial count data for GLMM effort estimation",
      "concept": [
        "\"Example Datasets\""
      ],
      "topics": [
        "example_aerial_glmm_counts"
      ]
    },
    {
      "page": "example_aerial_interviews",
      "title": "Example angler interview data for aerial creel survey",
      "concept": [
        "\"Example Datasets\""
      ],
      "topics": [
        "example_aerial_interviews"
      ]
    },
    {
      "page": "example_ages",
      "title": "Example fish age data for creel estimation",
      "concept": [
        "\"Example Datasets\""
      ],
      "topics": [
        "example_ages"
      ]
    },
    {
      "page": "example_calendar",
      "title": "Example calendar data for creel survey",
      "concept": [
        "\"Example Datasets\""
      ],
      "topics": [
        "example_calendar"
      ]
    },
    {
      "page": "example_camera_counts",
      "title": "Example camera counts dataset (counter mode)",
      "concept": [
        "\"Example Datasets\""
      ],
      "topics": [
        "example_camera_counts"
      ]
    },
    {
      "page": "example_camera_interviews",
      "title": "Example interview data for camera-monitored creel survey",
      "concept": [
        "\"Example Datasets\""
      ],
      "topics": [
        "example_camera_interviews"
      ]
    },
    {
      "page": "example_camera_timestamps",
      "title": "Example camera timestamps dataset (ingress-egress mode)",
      "concept": [
        "\"Example Datasets\""
      ],
      "topics": [
        "example_camera_timestamps"
      ]
    },
    {
      "page": "example_catch",
      "title": "Example species catch data for creel survey",
      "concept": [
        "\"Example Datasets\""
      ],
      "topics": [
        "example_catch"
      ]
    },
    {
      "page": "example_counts",
      "title": "Example count data for creel survey",
      "concept": [
        "\"Example Datasets\""
      ],
      "topics": [
        "example_counts"
      ]
    },
    {
      "page": "example_ice_interviews",
      "title": "Example interview data for ice fishing creel survey",
      "concept": [
        "\"Example Datasets\""
      ],
      "topics": [
        "example_ice_interviews"
      ]
    },
    {
      "page": "example_ice_sampling_frame",
      "title": "Example sampling frame for ice fishing creel survey",
      "concept": [
        "\"Example Datasets\""
      ],
      "topics": [
        "example_ice_sampling_frame"
      ]
    },
    {
      "page": "example_interviews",
      "title": "Example interview data for creel survey",
      "concept": [
        "\"Example Datasets\""
      ],
      "topics": [
        "example_interviews"
      ]
    },
    {
      "page": "example_lengths",
      "title": "Example fish length data for creel survey",
      "concept": [
        "\"Example Datasets\""
      ],
      "topics": [
        "example_lengths"
      ]
    },
    {
      "page": "example_roving_interviews",
      "title": "Example roving interviews for a creel survey",
      "concept": [
        "\"Example Datasets\""
      ],
      "topics": [
        "example_roving_interviews"
      ]
    },
    {
      "page": "example_season_calendar",
      "title": "Example season calendar for a creel survey",
      "concept": [
        "\"Example Datasets\""
      ],
      "topics": [
        "example_season_calendar"
      ]
    },
    {
      "page": "example_season_counts",
      "title": "Example season counts for a creel survey",
      "concept": [
        "\"Example Datasets\""
      ],
      "topics": [
        "example_season_counts"
      ]
    },
    {
      "page": "example_season_interviews",
      "title": "Example season interviews for a creel survey",
      "concept": [
        "\"Example Datasets\""
      ],
      "topics": [
        "example_season_interviews"
      ]
    },
    {
      "page": "example_sections_calendar",
      "title": "Example calendar for spatially stratified creel survey",
      "concept": [
        "\"Example Datasets\""
      ],
      "topics": [
        "example_sections_calendar"
      ]
    },
    {
      "page": "example_sections_counts",
      "title": "Example effort counts for spatially stratified creel survey",
      "concept": [
        "\"Example Datasets\""
      ],
      "topics": [
        "example_sections_counts"
      ]
    },
    {
      "page": "example_sections_interviews",
      "title": "Example interview data for spatially stratified creel survey",
      "concept": [
        "\"Example Datasets\""
      ],
      "topics": [
        "example_sections_interviews"
      ]
    },
    {
      "page": "flag_outliers",
      "title": "Flag outliers in a creel interview data column",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "flag_outliers"
      ]
    },
    {
      "page": "format.creel_completeness_report",
      "title": "Format creel_completeness_report for printing",
      "topics": [
        "format.creel_completeness_report"
      ]
    },
    {
      "page": "format.creel_design",
      "title": "Format a creel_design object",
      "topics": [
        "format.creel_design"
      ]
    },
    {
      "page": "format.creel_design_report",
      "title": "Format creel_design_report for printing",
      "topics": [
        "format.creel_design_report"
      ]
    },
    {
      "page": "format.creel_estimates",
      "title": "Format creel_estimates for printing",
      "topics": [
        "format.creel_estimates"
      ]
    },
    {
      "page": "format.creel_estimates_diagnostic",
      "title": "Format creel_estimates_diagnostic for printing",
      "topics": [
        "format.creel_estimates_diagnostic"
      ]
    },
    {
      "page": "format.creel_estimates_mor",
      "title": "Format creel_estimates_mor for printing",
      "topics": [
        "format.creel_estimates_mor"
      ]
    },
    {
      "page": "format.creel_schedule",
      "title": "Format a creel_schedule for console printing",
      "topics": [
        "format.creel_schedule"
      ]
    },
    {
      "page": "format.creel_schema",
      "title": "Format method for creel_schema",
      "topics": [
        "format.creel_schema"
      ]
    },
    {
      "page": "format.creel_season_summary",
      "title": "Format a creel_season_summary object",
      "topics": [
        "format.creel_season_summary"
      ]
    },
    {
      "page": "format.creel_tost_validation",
      "title": "Format creel_tost_validation for printing",
      "topics": [
        "format.creel_tost_validation"
      ]
    },
    {
      "page": "format.creel_validation",
      "title": "Format creel_validation for printing",
      "topics": [
        "format.creel_validation"
      ]
    },
    {
      "page": "generate_bus_schedule",
      "title": "Generate a bus-route sampling frame",
      "concept": [
        "\"Scheduling\""
      ],
      "topics": [
        "generate_bus_schedule"
      ]
    },
    {
      "page": "generate_count_times",
      "title": "Generate within-day count time windows",
      "concept": [
        "\"Scheduling\""
      ],
      "topics": [
        "generate_count_times"
      ]
    },
    {
      "page": "generate_progressive_start",
      "title": "Schedule progressive count circuit start times",
      "concept": [
        "\"Scheduling\""
      ],
      "topics": [
        "generate_progressive_start"
      ]
    },
    {
      "page": "generate_schedule",
      "title": "Generate a creel survey sampling schedule",
      "concept": [
        "\"Scheduling\""
      ],
      "topics": [
        "generate_schedule"
      ]
    },
    {
      "page": "get_enumeration_counts",
      "title": "Get enumeration counts from a bus-route creel design with interviews",
      "concept": [
        "\"Bus-Route Helpers\""
      ],
      "topics": [
        "get_enumeration_counts"
      ]
    },
    {
      "page": "get_inclusion_probs",
      "title": "Get inclusion probabilities from a bus-route design",
      "concept": [
        "\"Bus-Route Helpers\""
      ],
      "topics": [
        "get_inclusion_probs"
      ]
    },
    {
      "page": "get_sampling_frame",
      "title": "Extract the sampling frame from a bus-route creel design",
      "concept": [
        "\"Bus-Route Helpers\""
      ],
      "topics": [
        "get_sampling_frame"
      ]
    },
    {
      "page": "get_site_contributions",
      "title": "Extract per-site effort contributions from a bus-route estimate",
      "concept": [
        "\"Bus-Route Helpers\""
      ],
      "topics": [
        "get_site_contributions"
      ]
    },
    {
      "page": "get_warnings",
      "title": "The warnings recorded on a design or an estimate",
      "topics": [
        "get_warnings"
      ]
    },
    {
      "page": "impute_camera_counts",
      "title": "Impute missing camera counts using GLM or GLMM",
      "concept": [
        "\"Survey Design\""
      ],
      "topics": [
        "impute_camera_counts"
      ]
    },
    {
      "page": "mean_party_size",
      "title": "Mean anglers per boat party from interviews",
      "concept": [
        "\"Survey Design\""
      ],
      "topics": [
        "mean_party_size"
      ]
    },
    {
      "page": "new_creel_schedule",
      "title": "Create a creel_schedule S3 object",
      "concept": [
        "\"Scheduling\""
      ],
      "topics": [
        "new_creel_schedule"
      ]
    },
    {
      "page": "optimal_n",
      "title": "Calculate sampling days required under Neyman-optimal allocation",
      "concept": [
        "\"Planning & Sample Size\""
      ],
      "topics": [
        "optimal_n"
      ]
    },
    {
      "page": "plot_design",
      "title": "Plot a creel survey design",
      "concept": [
        "\"Visualisation\""
      ],
      "topics": [
        "plot_design"
      ]
    },
    {
      "page": "power_creel",
      "title": "Unified sample-size and power interface for creel surveys",
      "concept": [
        "\"Planning & Sample Size\""
      ],
      "topics": [
        "power_creel"
      ]
    },
    {
      "page": "prep_counts_boat_party",
      "title": "Standardize boat-party sampled-day effort rows",
      "concept": [
        "\"Survey Design\""
      ],
      "topics": [
        "prep_counts_boat_party"
      ]
    },
    {
      "page": "prep_counts_daily_effort",
      "title": "Standardize sampled-day effort rows for count-based workflows",
      "concept": [
        "\"Survey Design\""
      ],
      "topics": [
        "prep_counts_daily_effort"
      ]
    },
    {
      "page": "prep_interview_catch",
      "title": "Standardize long catch-table rows for interview-based workflows",
      "concept": [
        "\"Survey Design\""
      ],
      "topics": [
        "prep_interview_catch"
      ]
    },
    {
      "page": "prep_interviews_trips",
      "title": "Standardize trip/interview rows for interview-based workflows",
      "concept": [
        "\"Survey Design\""
      ],
      "topics": [
        "prep_interviews_trips"
      ]
    },
    {
      "page": "preprocess_camera_timestamps",
      "title": "Preprocess camera ingress-egress timestamps",
      "concept": [
        "\"Camera Survey\""
      ],
      "topics": [
        "preprocess_camera_timestamps"
      ]
    },
    {
      "page": "print.creel_completeness_report",
      "title": "Print creel_completeness_report",
      "topics": [
        "print.creel_completeness_report"
      ]
    },
    {
      "page": "print.creel_data_validation",
      "title": "Print a creel_data_validation result",
      "topics": [
        "print.creel_data_validation"
      ]
    },
    {
      "page": "print.creel_design",
      "title": "Print a creel_design object",
      "topics": [
        "print.creel_design"
      ]
    },
    {
      "page": "print.creel_design_comparison",
      "title": "Print a creel_design_comparison",
      "topics": [
        "print.creel_design_comparison"
      ]
    },
    {
      "page": "print.creel_design_report",
      "title": "Print creel_design_report",
      "topics": [
        "print.creel_design_report"
      ]
    },
    {
      "page": "print.creel_estimates",
      "title": "Print creel_estimates",
      "topics": [
        "print.creel_estimates"
      ]
    },
    {
      "page": "print.creel_estimates_diagnostic",
      "title": "Print creel_estimates_diagnostic",
      "topics": [
        "print.creel_estimates_diagnostic"
      ]
    },
    {
      "page": "print.creel_estimates_mor",
      "title": "Print creel_estimates_mor",
      "topics": [
        "print.creel_estimates_mor"
      ]
    },
    {
      "page": "print.creel_hybrid_svydesign",
      "title": "Print a creel_hybrid_svydesign",
      "topics": [
        "print.creel_hybrid_svydesign"
      ]
    },
    {
      "page": "print.creel_schedule",
      "title": "Print a creel_schedule as a monthly calendar grid",
      "topics": [
        "print.creel_schedule"
      ]
    },
    {
      "page": "print.creel_schema",
      "title": "Print method for creel_schema",
      "topics": [
        "print.creel_schema"
      ]
    },
    {
      "page": "print.creel_season_summary",
      "title": "Print a creel_season_summary object",
      "topics": [
        "print.creel_season_summary"
      ]
    },
    {
      "page": "print.creel_summary",
      "title": "Print a creel_summary object",
      "topics": [
        "print.creel_summary"
      ]
    },
    {
      "page": "print.creel_tost_validation",
      "title": "Print creel_tost_validation",
      "topics": [
        "print.creel_tost_validation"
      ]
    },
    {
      "page": "print.creel_validation",
      "title": "Print creel_validation",
      "topics": [
        "print.creel_validation"
      ]
    },
    {
      "page": "print.creel_validation_report",
      "title": "Print a creel_validation_report",
      "topics": [
        "print.creel_validation_report"
      ]
    },
    {
      "page": "print.creel_variance_comparison",
      "title": "Print a creel_variance_comparison object",
      "topics": [
        "print.creel_variance_comparison"
      ]
    },
    {
      "page": "read_design",
      "title": "Rebuild a creel design from a bundle",
      "topics": [
        "read_design"
      ]
    },
    {
      "page": "read_schedule",
      "title": "Read a schedule file into a validated creel_schedule object",
      "concept": [
        "\"Scheduling\""
      ],
      "topics": [
        "read_schedule"
      ]
    },
    {
      "page": "reallocate_strata",
      "title": "Compute Neyman-optimal sample allocation across strata",
      "concept": [
        "\"Planning & Sample Size\""
      ],
      "topics": [
        "reallocate_strata"
      ]
    },
    {
      "page": "season_summary",
      "title": "Assemble pre-computed creel estimates into a report-ready wide tibble",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "season_summary"
      ]
    },
    {
      "page": "simulate_creel_catch",
      "title": "Simulate catch counts from a distributional family",
      "concept": [
        "\"Simulation\""
      ],
      "topics": [
        "simulate_creel_catch"
      ]
    },
    {
      "page": "simulate_creel_data",
      "title": "Simulate a complete creel survey dataset",
      "concept": [
        "\"Simulation\""
      ],
      "topics": [
        "simulate_creel_data"
      ]
    },
    {
      "page": "simulate_strata_collapse",
      "title": "Simulate the effect of collapsing strata on precision",
      "concept": [
        "\"Planning & Sample Size\""
      ],
      "topics": [
        "simulate_strata_collapse"
      ]
    },
    {
      "page": "standardize_species",
      "title": "Standardize species names to AFS codes",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "standardize_species"
      ]
    },
    {
      "page": "summarize_boat_composition",
      "title": "Tabulate boat composition by month and day type",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "summarize_boat_composition"
      ]
    },
    {
      "page": "summarize_by_angler_type",
      "title": "Tabulate interviews by angler type and month",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "summarize_by_angler_type"
      ]
    },
    {
      "page": "summarize_by_county",
      "title": "Tabulate interviews by county of origin",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "summarize_by_county"
      ]
    },
    {
      "page": "summarize_by_day_type",
      "title": "Tabulate interviews by day type and month",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "summarize_by_day_type"
      ]
    },
    {
      "page": "summarize_by_method",
      "title": "Tabulate interviews by fishing method and month",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "summarize_by_method"
      ]
    },
    {
      "page": "summarize_by_species_sought",
      "title": "Tabulate interviews by species sought and month",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "summarize_by_species_sought"
      ]
    },
    {
      "page": "summarize_by_trip_length",
      "title": "Tabulate interviews by trip length bin",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "summarize_by_trip_length"
      ]
    },
    {
      "page": "summarize_by_zip",
      "title": "Tabulate interviews by zip code of origin",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "summarize_by_zip"
      ]
    },
    {
      "page": "summarize_cws_rates",
      "title": "Compute caught-while-sought (CWS) rates by group",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "summarize_cws_rates"
      ]
    },
    {
      "page": "summarize_hws_rates",
      "title": "Compute harvested-while-sought (HWS) rates by group",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "summarize_hws_rates"
      ]
    },
    {
      "page": "summarize_length_freq",
      "title": "Compute length frequency distribution from creel interview data",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "summarize_length_freq"
      ]
    },
    {
      "page": "summarize_refusals",
      "title": "Tabulate refused vs accepted interviews by month",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "summarize_refusals"
      ]
    },
    {
      "page": "summarize_successful_parties",
      "title": "Tabulate successful parties by angler type and species sought",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "summarize_successful_parties"
      ]
    },
    {
      "page": "summarize_trips",
      "title": "Summarize trip metadata for interview data",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "summarize_trips"
      ]
    },
    {
      "page": "summary.creel_estimates",
      "title": "Summarise creel survey estimates as a formatted table",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "summary.creel_estimates"
      ]
    },
    {
      "page": "theme_creel",
      "title": "Package-standard ggplot2 theme for tidycreel plots",
      "concept": [
        "\"Visualisation\""
      ],
      "topics": [
        "theme_creel"
      ]
    },
    {
      "page": "tidy.creel_estimates",
      "title": "Tidy a creel_estimates object into a flat tibble",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "tidy.creel_estimates"
      ]
    },
    {
      "page": "validate_creel_data",
      "title": "Validate creel survey data frames",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "validate_creel_data"
      ]
    },
    {
      "page": "validate_creel_schedule",
      "title": "Validate a creel_schedule object",
      "concept": [
        "\"Scheduling\""
      ],
      "topics": [
        "validate_creel_schedule"
      ]
    },
    {
      "page": "validate_creel_schema",
      "title": "Validate a creel_schema object",
      "concept": [
        "\"Survey Design\""
      ],
      "topics": [
        "validate_creel_schema"
      ]
    },
    {
      "page": "validate_design",
      "title": "Validate a proposed creel survey design against sample size targets",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "validate_design"
      ]
    },
    {
      "page": "validate_incomplete_trips",
      "title": "Validate incomplete trip estimates using TOST equivalence testing",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "validate_incomplete_trips"
      ]
    },
    {
      "page": "validation_report",
      "title": "Generate a validation summary report",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "validation_report"
      ]
    },
    {
      "page": "write_design",
      "title": "Save a creel design as a bundle that rebuilds it",
      "topics": [
        "write_design"
      ]
    },
    {
      "page": "write_estimates",
      "title": "Export creel survey estimates to a file",
      "concept": [
        "\"Reporting & Diagnostics\""
      ],
      "topics": [
        "write_estimates"
      ]
    },
    {
      "page": "write_schedule",
      "title": "Write a creel schedule to a CSV or xlsx file",
      "concept": [
        "\"Scheduling\""
      ],
      "topics": [
        "write_schedule"
      ]
    }
  ],
  "_pkglogo": "https://github.com/chrischizinski/tidycreel/raw/HEAD/logo.png",
  "_readme": "https://github.com/chrischizinski/tidycreel/raw/HEAD/README.md",
  "_rundeps": [
    "backports",
    "checkmate",
    "cli",
    "cpp11",
    "DBI",
    "dplyr",
    "farver",
    "generics",
    "ggplot2",
    "glue",
    "gtable",
    "isoband",
    "labeling",
    "lattice",
    "lifecycle",
    "magrittr",
    "Matrix",
    "minqa",
    "mitools",
    "numDeriv",
    "pillar",
    "pkgconfig",
    "R6",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "rlang",
    "S7",
    "scales",
    "survey",
    "survival",
    "tibble",
    "tidyselect",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr",
    "yaml"
  ],
  "_vignettes": [
    {
      "source": "aerial-surveys.Rmd",
      "filename": "aerial-surveys.html",
      "title": "Aerial Survey Analysis with tidycreel",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "$v$ is the reciprocal of the published ratio",
        "The correction is estimated, so it carries uncertainty",
        "Example Data",
        "Design Construction",
        "Adding Count Data and Estimating Effort",
        "Visibility Correction",
        "Interview-Based Catch Estimation",
        "Results as Data",
        "Summary",
        "References"
      ],
      "created": "2026-03-31 01:30:07",
      "modified": "2026-10-20 20:45:53",
      "commits": 7
    },
    {
      "source": "bus-route-equations.Rmd",
      "filename": "bus-route-equations.html",
      "title": "Bus-Route Survey: Equation Traceability",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "1. Site Weight and Inclusion Probability",
        "2. Enumeration Expansion",
        "3. Effort",
        "4. Catch, Harvest and Release Totals",
        "5. Rates from Complete Trips",
        "6. Rates from Incomplete Trips",
        "7. Variance and What the Total Covers",
        "8. Worked Check: Pollock et al. (1994), Tables 15.15–15.17",
        "9. Summary Traceability Table",
        "10. Why the Weights Matter",
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        "Example Data",
        "Counter Mode",
        "Build a Survey Calendar",
        "Design Construction",
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        "Ingress-Egress Mode",
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        "The sampling unit is the day",
        "From a count to a day's effort",
        "From sampled days to the stratum total",
        "The standard error: variation between days",
        "Why there is no finite-population correction here",
        "One count per day: se_within is 0, and what that means",
        "Several counts per day: two-stage variance",
        "More days or more counts per day?",
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        "Summary",
        "References"
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        "The season",
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        "Counts",
        "Effort",
        "Interviews",
        "Catch rates",
        "Total catch and harvest",
        "Using results as data",
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        "Next steps"
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        "Building the Aerial Design",
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        "Variance and Confidence Intervals",
        "Downstream Estimation",
        "Comparison: Simple vs. GLMM Estimator",
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        "Results as Data",
        "Custom Formula",
        "References"
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      "source": "glossary.Rmd",
      "filename": "glossary.html",
      "title": "Glossary of Creel Survey Terms",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Survey design terms",
        "Creel survey",
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        "Calendar",
        "Stratum / strata",
        "PSU (Primary Sampling Unit)",
        "Survey type",
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        "Effort and catch terms",
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        "Target: sampled days, stratum total, period total",
        "Trip-status and interview terms",
        "Complete trip",
        "Incomplete trip",
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        "Design-based inference",
        "Weighted estimate",
        "Unextrapolated summary",
        "Extrapolated estimate",
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        "Confidence interval (CI)",
        "Relative standard error (RSE)",
        "Planning terms",
        "Sample size planning",
        "Power",
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        "Hybrid design",
        "Survey-type terms",
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        "Progressive count survey",
        "Bus-route survey",
        "Camera survey",
        "Aerial survey",
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        "The map",
        "Effort follows the survey type",
        "The catch rate follows the interview type",
        "Totals follow from the two",
        "Seeing which estimator ran",
        "Overriding the choice",
        "References"
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        "Effort type distinction",
        "Shelter mode stratification",
        "Example Data",
        "Design Construction",
        "Attaching Interview Data",
        "Effort Estimation",
        "Shelter Mode Stratification",
        "Catch Rate Estimation",
        "Total Catch Estimation",
        "Results as Data",
        "References"
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        "The task",
        "What the sources say",
        "What tidycreel does by default",
        "Estimating from incomplete trips on an access design",
        "Short trips",
        "Checking incomplete trips against complete ones",
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      "engine": "knitr::rmarkdown",
      "headings": [
        "What this design is",
        "Design and counts",
        "Effort",
        "Access interviews",
        "Roving interviews",
        "Results as data",
        "Plot",
        "References"
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        "Survey Design and Count Data",
        "Adding Interview Data",
        "Estimating CPUE",
        "Estimating Total Catch",
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        "Grouped Estimation",
        "Variance Methods",
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        "References"
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      "headings": [
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        "Two estimators, and what each one estimates",
        "Access interviews: ratio of means",
        "Roving interviews: mean of ratios",
        "What tidycreel does",
        "From rates to a total: stratum by stratum",
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        "The independence assumption",
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        "References"
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      "title": "Mark-Recapture and Exploitation Rate Estimation",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Angler Population Size",
        "Chapman estimator (default)",
        "Petersen estimator",
        "Schnabel estimator (multi-occasion)",
        "Schumacher-Eschmeyer estimator (multi-occasion regression)",
        "Total Harvest from Mark-Recapture",
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        "Stratified (T-weighted)",
        "Reporting rate adjustment",
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        "See Also"
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      "created": "2026-05-06 13:47:35",
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      "headings": [
        "Zero is a measurement",
        "Unknown is not zero",
        "A stratum with no sampled days",
        "A stratum with no catch rate",
        "Other unknowns that are refused",
        "NULL, NA and zero in a standard error",
        "One exception: se_within with one count per day",
        "Kinds of refusal",
        "Why refuse rather than warn"
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      "headings": [
        "The task",
        "A simulated season",
        "Season total",
        "Monthly totals",
        "Why strata, not a by over a season design",
        "Catch totals",
        "One table for the report",
        "Several years",
        "Summary",
        "References"
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        "Introduction",
        "Building a Sectioned Design",
        "Per-Section Effort Estimation",
        "Per-Section Catch Rate",
        "Per-Section and Lake-Wide Total Catch",
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      "headings": [
        "1 Pre-season sample-size planning with power_creel()",
        "Required sampling days for total effort precision",
        "Required interviews for CPUE precision",
        "Power to detect a management-relevant CPUE change",
        "2 Comparing finished designs with compare_designs()",
        "3 Combining disjoint count frames with as_hybrid_svydesign()",
        "Summary"
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      "engine": "knitr::rmarkdown",
      "headings": [
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        "The Count Period Framework",
        "Building a Basic Schedule",
        "Visualising Sampled vs. Unsampled Days",
        "Scheduling High-Use or Other Special Periods",
        "Special Strata vs. Post-Stratification",
        "Three-Period Schedules",
        "Reproducibility with seed",
        "Saving and Sharing the Schedule",
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        "Count Period Scheduling vs. Interview Scheduling",
        "Bus-Route Scheduling",
        "Sampling Rate Guidance",
        "Within-Day Count Time Scheduling",
        "Random Strategy",
        "Systematic Strategy",
        "Fixed Strategy",
        "Progressive Count Strategy",
        "Exporting Count Time Schedules",
        "Combining the Daily Schedule with Count Time Windows",
        "Validating the Design Before the Season",
        "Checking Data Completeness After the Season",
        "Assembling the Season Summary",
        "References"
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      "engine": "knitr::rmarkdown",
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        "Effort: svytotal()",
        "No finite-population correction",
        "Catch rate: svyratio()",
        "Total catch: svyby() and a product variance",
        "Mapping table",
        "The internal design object"
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      "engine": "knitr::rmarkdown",
      "headings": [
        "What is tidycreel.connect?",
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        "How tidycreel.connect relates to tidycreel",
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        "Connection management",
        "Data loading",
        "Survey discovery (API connections only)",
        "CSV back-end",
        "More information"
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      "engine": "knitr::rmarkdown",
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        "Build the Design",
        "Interview Participation",
        "Interview Composition",
        "Day Type",
        "Angler Type",
        "Fishing Method",
        "Species Sought",
        "Successful Parties",
        "Trip Length Distribution",
        "Catch-While-Sought (CWS) and Harvest-While-Sought (HWS) Rates",
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        "HWS Rates",
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        "Harvest Lengths",
        "Release Lengths",
        "All-Catch Lengths",
        "Extrapolated Species-Level Estimates",
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        "Same season, three methods",
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        "Before attaching counts",
        "After attaching counts",
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        "Ungrouped effort estimate",
        "Grouped effort estimate",
        "CPUE estimate",
        "Weighted Length Distributions",
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        "5  Customising Appearance with theme_creel()",
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        "The count side",
        "The interview side",
        "How units combine",
        "What to do with an NA unit",
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      "commit": "cd02a018c044d5aec5ccba605513bd191a7dbed0",
      "fileid": "https://r2.ropensci.org/7d831ecacccd95fe94334057999e5836fc83f0ea9dde5330f07be867c04fbaaa",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/chrischizinski/actions/runs/39697701728"
    }
  ]
}