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  "Description": "Implements distributional cost-effectiveness analysis\n(DCEA) as described in Cookson et al. (2020,\nISBN:9780198838197) and the methods endorsed by NICE (2025) for\nhealth technology evaluation. Provides functions for both\naggregate and full-form DCEA, inequality measurement (Atkinson\nindex, Gini coefficient, slope index of inequality, relative\nindex of inequality), social welfare function evaluation,\nequity-efficiency impact plane visualisation, and sensitivity\nanalysis over inequality aversion parameters. Includes baseline\nhealth distributions for England (by IMD quintile), Canada\n(income quintile), and global WHO regions. Suitable for\nacademic research, health technology assessment submissions,\nand public health policy analysis.",
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  "_exports": [
    "build_staircase_data",
    "calc_all_inequality_indices",
    "calc_atkinson_index",
    "calc_concentration_index",
    "calc_ede",
    "calc_ede_profile",
    "calc_equity_weight_profile",
    "calc_equity_weighted_nhb",
    "calc_equity_weights",
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    "calc_rii",
    "calc_sii",
    "calc_social_welfare",
    "compute_generalised_lorenz_data",
    "compute_lorenz_data",
    "compute_ridit_scores",
    "export_dcea_excel",
    "generate_dcea_report",
    "generate_nice_table",
    "get_baseline_health",
    "merge_cea_with_baseline",
    "normalise_weights",
    "plot_dcea_tornado",
    "plot_ede_profile",
    "plot_equity_impact_plane",
    "plot_inequality_staircase",
    "plot_lorenz_curve",
    "prepare_subgroup_cea",
    "run_aggregate_dcea",
    "run_dcea_sensitivity",
    "run_full_dcea",
    "validate_dcea_data"
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        "group",
        "quintile_label",
        "group_label",
        "mean_hale",
        "mean_hale_male",
        "mean_hale_female",
        "se_hale",
        "pop_share",
        "cumulative_rank",
        "year",
        "source"
      ],
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      "table": true,
      "tojson": true
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      "name": "england_imd_hale",
      "title": "England IMD quintile Health-Adjusted Life Expectancy data",
      "object": "england_imd_hale",
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        "tbl",
        "data.frame"
      ],
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        "group",
        "quintile_label",
        "group_label",
        "mean_hale",
        "mean_hale_all",
        "mean_hale_male",
        "mean_hale_female",
        "se_hale",
        "se_hale_all",
        "pop_share",
        "cumulative_rank",
        "year",
        "source"
      ],
      "rows": 5,
      "table": true,
      "tojson": true
    },
    {
      "name": "england_imd_qol",
      "title": "England IMD quintile EQ-5D utility norms",
      "object": "england_imd_qol",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "imd_quintile",
        "age_band",
        "mean_eq5d_utility",
        "se_eq5d",
        "mean_qale_remaining",
        "source"
      ],
      "rows": 40,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_cea_output",
      "title": "Example CEA model output",
      "object": "example_cea_output",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "nsclc_dcea_example",
      "title": "NSCLC DCEA worked example",
      "object": "nsclc_dcea_example",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "who_regions_hale",
      "title": "WHO regional HALE data",
      "object": "who_regions_hale",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "who_region",
        "region_label",
        "group",
        "group_label",
        "mean_hale",
        "se_hale",
        "pop_share",
        "cumulative_rank",
        "year",
        "source"
      ],
      "rows": 6,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "dceasimR-package",
      "title": "dceasimR: Distributional Cost-Effectiveness Analysis for Health Technology Assessment",
      "topics": [
        "dceasimR-package",
        "dceasimR"
      ]
    },
    {
      "page": "build_staircase_data",
      "title": "Build inequality staircase data from component inputs",
      "topics": [
        "build_staircase_data"
      ]
    },
    {
      "page": "calc_all_inequality_indices",
      "title": "Calculate all inequality indices in one call",
      "topics": [
        "calc_all_inequality_indices"
      ]
    },
    {
      "page": "calc_atkinson_index",
      "title": "Calculate Atkinson Index of Health Inequality",
      "topics": [
        "calc_atkinson_index"
      ]
    },
    {
      "page": "calc_concentration_index",
      "title": "Calculate Concentration Index",
      "topics": [
        "calc_concentration_index"
      ]
    },
    {
      "page": "calc_ede",
      "title": "Calculate Equally Distributed Equivalent Health (EDE)",
      "topics": [
        "calc_ede"
      ]
    },
    {
      "page": "calc_ede_profile",
      "title": "Calculate EDE over a range of eta values",
      "topics": [
        "calc_ede_profile"
      ]
    },
    {
      "page": "calc_equity_weight_profile",
      "title": "Equity weights over a range of eta values",
      "topics": [
        "calc_equity_weight_profile"
      ]
    },
    {
      "page": "calc_equity_weighted_nhb",
      "title": "Calculate equity-weighted Net Health Benefit (NHB)",
      "topics": [
        "calc_equity_weighted_nhb"
      ]
    },
    {
      "page": "calc_equity_weights",
      "title": "Calculate Equity Weights",
      "topics": [
        "calc_equity_weights"
      ]
    },
    {
      "page": "calc_gini",
      "title": "Calculate Gini Coefficient for Health Distribution",
      "topics": [
        "calc_gini"
      ]
    },
    {
      "page": "calc_rii",
      "title": "Calculate Relative Index of Inequality (RII)",
      "topics": [
        "calc_rii"
      ]
    },
    {
      "page": "calc_sii",
      "title": "Calculate Slope Index of Inequality (SII)",
      "topics": [
        "calc_sii"
      ]
    },
    {
      "page": "calc_social_welfare",
      "title": "Calculate Social Welfare Function value",
      "topics": [
        "calc_social_welfare"
      ]
    },
    {
      "page": "canada_income_hale",
      "title": "Canada income quintile HALE data",
      "topics": [
        "canada_income_hale"
      ]
    },
    {
      "page": "compute_generalised_lorenz_data",
      "title": "Compute Generalised Lorenz curve data",
      "topics": [
        "compute_generalised_lorenz_data"
      ]
    },
    {
      "page": "compute_lorenz_data",
      "title": "Compute Lorenz curve data",
      "topics": [
        "compute_lorenz_data"
      ]
    },
    {
      "page": "compute_ridit_scores",
      "title": "Compute ridit scores (cumulative midpoint ranks) for inequality measures",
      "topics": [
        "compute_ridit_scores"
      ]
    },
    {
      "page": "england_imd_hale",
      "title": "England IMD quintile Health-Adjusted Life Expectancy data",
      "topics": [
        "england_imd_hale"
      ]
    },
    {
      "page": "england_imd_qol",
      "title": "England IMD quintile EQ-5D utility norms",
      "topics": [
        "england_imd_qol"
      ]
    },
    {
      "page": "example_cea_output",
      "title": "Example CEA model output",
      "topics": [
        "example_cea_output"
      ]
    },
    {
      "page": "export_dcea_excel",
      "title": "Export DCEA results to Excel (NICE submission format)",
      "topics": [
        "export_dcea_excel"
      ]
    },
    {
      "page": "generate_dcea_report",
      "title": "Generate a full DCEA report",
      "topics": [
        "generate_dcea_report"
      ]
    },
    {
      "page": "generate_nice_table",
      "title": "Generate NICE-formatted DCEA submission table",
      "topics": [
        "generate_nice_table"
      ]
    },
    {
      "page": "get_baseline_health",
      "title": "Get baseline health distribution for a country",
      "topics": [
        "get_baseline_health"
      ]
    },
    {
      "page": "merge_cea_with_baseline",
      "title": "Merge CEA model output with baseline health distribution",
      "topics": [
        "merge_cea_with_baseline"
      ]
    },
    {
      "page": "normalise_weights",
      "title": "Normalise population weights to sum to 1",
      "topics": [
        "normalise_weights"
      ]
    },
    {
      "page": "nsclc_dcea_example",
      "title": "NSCLC DCEA worked example",
      "topics": [
        "nsclc_dcea_example"
      ]
    },
    {
      "page": "plot_dcea_tornado",
      "title": "Plot Tornado Diagram for DCEA Sensitivity Analysis",
      "topics": [
        "plot_dcea_tornado"
      ]
    },
    {
      "page": "plot_ede_profile",
      "title": "Plot EDE Profile",
      "topics": [
        "plot_ede_profile"
      ]
    },
    {
      "page": "plot_equity_impact_plane",
      "title": "Plot Equity-Efficiency Impact Plane",
      "topics": [
        "plot_equity_impact_plane"
      ]
    },
    {
      "page": "plot_inequality_staircase",
      "title": "Plot Inequality Staircase",
      "topics": [
        "plot_inequality_staircase"
      ]
    },
    {
      "page": "plot_lorenz_curve",
      "title": "Plot Lorenz Curve for Health Distribution",
      "topics": [
        "plot_lorenz_curve"
      ]
    },
    {
      "page": "plot.aggregate_dcea",
      "title": "Plot method for aggregate_dcea",
      "topics": [
        "plot.aggregate_dcea"
      ]
    },
    {
      "page": "plot.full_dcea",
      "title": "Plot method for full_dcea",
      "topics": [
        "plot.full_dcea"
      ]
    },
    {
      "page": "prepare_subgroup_cea",
      "title": "Prepare subgroup CEA data for DCEA",
      "topics": [
        "prepare_subgroup_cea"
      ]
    },
    {
      "page": "print.aggregate_dcea",
      "title": "Print method for aggregate_dcea",
      "topics": [
        "print.aggregate_dcea"
      ]
    },
    {
      "page": "print.full_dcea",
      "title": "Print method for full_dcea",
      "topics": [
        "print.full_dcea"
      ]
    },
    {
      "page": "run_aggregate_dcea",
      "title": "Run Aggregate DCEA",
      "topics": [
        "run_aggregate_dcea"
      ]
    },
    {
      "page": "run_dcea_sensitivity",
      "title": "Run DCEA Sensitivity Analysis",
      "topics": [
        "run_dcea_sensitivity"
      ]
    },
    {
      "page": "run_full_dcea",
      "title": "Run Full-Form DCEA",
      "topics": [
        "run_full_dcea"
      ]
    },
    {
      "page": "summary.aggregate_dcea",
      "title": "Summary method for aggregate_dcea",
      "topics": [
        "summary.aggregate_dcea"
      ]
    },
    {
      "page": "summary.full_dcea",
      "title": "Summary method for full_dcea",
      "topics": [
        "summary.full_dcea"
      ]
    },
    {
      "page": "validate_dcea_data",
      "title": "Validate and format DCEA input data",
      "topics": [
        "validate_dcea_data"
      ]
    },
    {
      "page": "who_regions_hale",
      "title": "WHO regional HALE data",
      "topics": [
        "who_regions_hale"
      ]
    }
  ],
  "_readme": "https://github.com/heorlytics/dceasimr/raw/HEAD/README.md",
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  "_vignettes": [
    {
      "source": "v02_aggregate_dcea_tutorial.Rmd",
      "filename": "v02_aggregate_dcea_tutorial.html",
      "title": "Aggregate DCEA Tutorial",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Step 1: Define CEA inputs",
        "Step 2: Load baseline health distribution",
        "Step 3: Run aggregate DCEA",
        "Step 4: Interpret outputs",
        "Per-group results",
        "Inequality impact",
        "Step 5: Visualise",
        "Step 6: Generate NICE submission table",
        "References"
      ],
      "created": "2026-04-09 14:23:48",
      "modified": "2026-04-09 14:23:48",
      "commits": 1
    },
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      "headings": [
        "When to use full-form DCEA",
        "The inequality staircase",
        "Worked example: NSCLC with subgroup evidence",
        "Subgroup-specific CEA inputs",
        "Differential uptake",
        "Run full-form DCEA",
        "Visualise",
        "Inequality staircase"
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      "created": "2026-04-09 14:23:48",
      "modified": "2026-04-09 14:23:48",
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      "headings": [
        "Overview",
        "Slope Index of Inequality (SII)",
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