{
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  "Title": "Handling and Analysing 'EQ-5D' Data",
  "Version": "2.1.0",
  "Authors@R": "c(person(given = \"Kim\",\nfamily = \"Rand\",\nrole = c(\"aut\", \"cre\"),\nemail = \"krand@mathsinhealth.com\",\ncomment = c(ORCID = \"0000-0001-7692-4099\")),\nperson(given = \"Oliver\",\nfamily = \"Rivero-Arias\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0003-2233-6544\")),\nperson(given = \"Iryna\",\nfamily = \"Schlackow\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0002-4154-1431\")),\nperson(given = \"Anabel\",\nfamily = \"Estévez-Carrillo\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0001-8778-5055\")))",
  "Maintainer": "Kim Rand <krand@mathsinhealth.com>",
  "Description": "The EQ-5D is a widely-used standardised instrument for\nmeasuring Health Related Quality Of Life (HRQOL), developed by\nthe EuroQol group <https://euroqol.org/>. It assesses five\ndimensions; mobility, self-care, usual activities,\npain/discomfort, and anxiety/depression, using either a\nthree-level (EQ-5D-3L) or five-level (EQ-5D-5L) scale. Scores\nfrom these dimensions are commonly converted into a single\nutility index using country-specific value sets, which are\ncritical in clinical and economic evaluations of healthcare and\nin population health surveys. The eq5dsuite package enables\nusers to calculate utility index values for the EQ-5D\ninstruments, including crosswalk utilities using the original\ncrosswalk developed by van Hout et al. (2012)\n<doi:10.1016/j.jval.2012.02.008> (mapping EQ-5D-5L responses to\nEQ-5D-3L index values), or the recently developed reverse\ncrosswalk by van Hout et al. (2021)\n<doi:10.1016/j.jval.2021.03.009> (mapping EQ-5D-3L responses to\nEQ-5D-5L index values). Users are allowed to add and/or remove\nuser-defined value sets. Additionally, the package provides\ntools to analyse EQ-5D data according to the recommended\nguidelines outlined in \"Methods for Analyzing and Reporting\nEQ-5D data\" by Devlin et al. (2020)\n<doi:10.1007/978-3-030-47622-9>.",
  "URL": "https://github.com/MathsInHealth/eq5dsuite-r,\nhttps://github.com/MathsInHealth/eq5dsuite",
  "BugReports": "https://github.com/MathsInHealth/eq5dsuite-r/issues",
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  "Repository": "https://mathsinhealth.r-universe.dev",
  "Date/Publication": "2026-10-21 18:04:01 UTC",
  "RemoteUrl": "https://github.com/mathsinhealth/eq5dsuite-r",
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  "Packaged": {
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  "Author": "Kim Rand [aut, cre] (ORCID: <https://orcid.org/0000-0001-7692-4099>),\nOliver Rivero-Arias [aut] (ORCID:\n<https://orcid.org/0000-0003-2233-6544>),\nIryna Schlackow [aut] (ORCID: <https://orcid.org/0000-0002-4154-1431>),\nAnabel Estévez-Carrillo [aut] (ORCID:\n<https://orcid.org/0000-0001-8778-5055>)",
  "_user": "mathsinhealth",
  "_type": "src",
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  "_created": "2026-10-23T15:44:22.000Z",
  "_published": "2026-10-23T15:52:55.583Z",
  "_upstream": "https://github.com/mathsinhealth/eq5dsuite-r",
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    "author": "Anabel Estévez-Carrillo <aestevez@mathsinhealth.com>",
    "committer": "Anabel Estévez-Carrillo <aestevez@mathsinhealth.com>",
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    "time": 1792605841
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  "_host": "GitHub-Actions",
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  "_dependencies": [
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  "_devurl": "https://github.com/mathsinhealth/eq5dsuite-r",
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    "extra/citation.json",
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  "_homeurl": "https://github.com/mathsinhealth/eq5dsuite-r",
  "_realowner": "mathsinhealth",
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  "_releases": [
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      "date": "2024-05-21"
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  "_exports": [
    "eq5d",
    "eq5d_profile_better_dimensions_by_group_plot",
    "eq5d_profile_change_summary",
    "eq5d_profile_density_curve",
    "eq5d_profile_dimension_change_table",
    "eq5d_profile_health_profile_grid",
    "eq5d_profile_level_summary",
    "eq5d_profile_level_summary_by_group",
    "eq5d_profile_lfs_distribution",
    "eq5d_profile_lfs_mean_utility",
    "eq5d_profile_lfs_utility_plot",
    "eq5d_profile_lfs_utility_summary",
    "eq5d_profile_lss_utility_plot",
    "eq5d_profile_lss_utility_summary",
    "eq5d_profile_mixed_dimensions_by_group_plot",
    "eq5d_profile_pchc_by_group_plot",
    "eq5d_profile_pchc_table",
    "eq5d_profile_pchc_with_no_problems_table",
    "eq5d_profile_shannon",
    "eq5d_profile_top_states",
    "eq5d_profile_worse_dimensions_by_group_plot",
    "eq5d_utility_by_group_plot",
    "eq5d_utility_change_by_group_plot",
    "eq5d_utility_distribution_plot",
    "eq5d_utility_norms_comparison",
    "eq5d_utility_over_time_plot",
    "eq5d_utility_summary",
    "eq5d_utility_summary_by_group",
    "eq5d_utility_vas_scatter_plot",
    "eq5d_vas_distribution_table",
    "eq5d_vas_grouped_distribution_plot",
    "eq5d_vas_histogram",
    "eq5d_vas_summary",
    "eq5d3l",
    "eq5d5l",
    "eq5dy3l",
    "eqvs_add",
    "eqvs_display",
    "eqvs_drop",
    "eqvs_load",
    "eqxw",
    "eqxw_UK",
    "eqxwr",
    "eqxwr_UK",
    "make_all_EQ_indexes",
    "make_all_EQ_states",
    "make_dummies",
    "run_app",
    "toEQ5Ddims",
    "toEQ5Dindex",
    "update_value_sets"
  ],
  "_datasets": [
    {
      "name": "example_data",
      "title": "example_data",
      "object": "example_data",
      "class": [
        "data.frame"
      ],
      "fields": [
        "id",
        "time",
        "mo",
        "sc",
        "ua",
        "pd",
        "ad",
        "vas",
        "procedure",
        "year",
        "ageband",
        "gender"
      ],
      "rows": 10000,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "eq5dsuite-package",
      "title": "eq5dsuite: Standardised Tools for EQ-5D Analysis",
      "topics": [
        "eq5dsuite-package",
        "eq5dsuite"
      ]
    },
    {
      "page": "dot-EQxwrprob",
      "title": ".EQxwrprob",
      "topics": [
        ".EQxwrprob"
      ]
    },
    {
      "page": "dot-freqtab",
      "title": "Helper function for frequency of levels by dimensions tables",
      "topics": [
        ".freqtab"
      ]
    },
    {
      "page": "dot-pstate3t5",
      "title": ".pstate3t5",
      "topics": [
        ".pstate3t5"
      ]
    },
    {
      "page": "dot-pstate5t3",
      "title": ".pstate5t3",
      "topics": [
        ".pstate5t3"
      ]
    },
    {
      "page": "eq5d",
      "title": "eq5d",
      "topics": [
        "eq5d"
      ]
    },
    {
      "page": "eq5d_profile_better_dimensions_by_group_plot",
      "title": "eq5d_profile_better_dimensions_by_group_plot: Percentage of Respondents Who Improved in Each EQ-5D Dimension, by Group This function calculates how many respondents improved in each dimension between two time points and summarizes the results for each group. It then produces a dimension-focused chart illustrating improvement percentages by dimension.",
      "topics": [
        "eq5d_profile_better_dimensions_by_group_plot"
      ]
    },
    {
      "page": "eq5d_profile_change_summary",
      "title": "eq5d_profile_change_summary: Frequency of levels by dimensions, by follow-up",
      "topics": [
        "eq5d_profile_change_summary"
      ]
    },
    {
      "page": "eq5d_profile_density_curve",
      "title": "eq5d_profile_density_curve: Generate a Health State Density Curve (HSDC) for EQ-5D Data",
      "topics": [
        "eq5d_profile_density_curve"
      ]
    },
    {
      "page": "eq5d_profile_dimension_change_table",
      "title": "eq5d_profile_dimension_change_table: Changes in levels in each dimension, percentages of total and of type of change",
      "topics": [
        "eq5d_profile_dimension_change_table"
      ]
    },
    {
      "page": "eq5d_profile_health_profile_grid",
      "title": "eq5d_profile_health_profile_grid: Health Profile Grid (HPG) for Two Time Points",
      "topics": [
        "eq5d_profile_health_profile_grid"
      ]
    },
    {
      "page": "eq5d_profile_level_summary",
      "title": "eq5d_profile_level_summary: Frequency of levels by dimensions, cross-sectional",
      "topics": [
        "eq5d_profile_level_summary"
      ]
    },
    {
      "page": "eq5d_profile_level_summary_by_group",
      "title": "eq5d_profile_level_summary_by_group: Frequency of levels by dimensions, separated by category",
      "topics": [
        "eq5d_profile_level_summary_by_group"
      ]
    },
    {
      "page": "eq5d_profile_lfs_distribution",
      "title": "eq5d_profile_lfs_distribution: Distribution of the EQ-5D states by LFS (Level Frequency Score)",
      "topics": [
        "eq5d_profile_lfs_distribution"
      ]
    },
    {
      "page": "eq5d_profile_lfs_mean_utility",
      "title": "eq5d_profile_lfs_mean_utility: Number of observations in the LFS (Level Frequency Score) according to the EQ-5D values",
      "topics": [
        "eq5d_profile_lfs_mean_utility"
      ]
    },
    {
      "page": "eq5d_profile_lfs_utility_plot",
      "title": "eq5d_profile_lfs_utility_plot: EQ-5D values plotted against LFS",
      "topics": [
        "eq5d_profile_lfs_utility_plot"
      ]
    },
    {
      "page": "eq5d_profile_lfs_utility_summary",
      "title": "eq5d_profile_lfs_utility_summary: Summary statistics of EQ-5D values by LFS (Level Frequency Score)",
      "topics": [
        "eq5d_profile_lfs_utility_summary"
      ]
    },
    {
      "page": "eq5d_profile_lss_utility_plot",
      "title": "eq5d_profile_lss_utility_plot: EQ-5D values plotted against LSS",
      "topics": [
        "eq5d_profile_lss_utility_plot"
      ]
    },
    {
      "page": "eq5d_profile_lss_utility_summary",
      "title": "eq5d_profile_lss_utility_summary: Summary statistics for the EQ-5D values by all the different LSSs (Level Sum Scores)",
      "topics": [
        "eq5d_profile_lss_utility_summary"
      ]
    },
    {
      "page": "eq5d_profile_mixed_dimensions_by_group_plot",
      "title": "eq5d_profile_mixed_dimensions_by_group_plot: Percentage of Respondents Who Had a Mixed Change Overall, by Dimension Improved or Worsened, Grouped by Procedure (or Other Grouping)",
      "topics": [
        "eq5d_profile_mixed_dimensions_by_group_plot"
      ]
    },
    {
      "page": "eq5d_profile_pchc_by_group_plot",
      "title": "eq5d_profile_pchc_by_group_plot: Paretian Classification of Health Change (PCHC) by Group This function computes PCHC categories between two time points for each subject, stratifies them by a grouping variable, and produces a single bar chart with side-by-side bars showing the distribution of PCHC categories.",
      "topics": [
        "eq5d_profile_pchc_by_group_plot"
      ]
    },
    {
      "page": "eq5d_profile_pchc_table",
      "title": "eq5d_profile_pchc_table: Changes in health according to the PCHC (Paretian Classification of Health Change)",
      "topics": [
        "eq5d_profile_pchc_table"
      ]
    },
    {
      "page": "eq5d_profile_pchc_with_no_problems_table",
      "title": "eq5d_profile_pchc_with_no_problems_table: Changes in health according to the PCHC, taking account of those with no problems",
      "topics": [
        "eq5d_profile_pchc_with_no_problems_table"
      ]
    },
    {
      "page": "eq5d_profile_shannon",
      "title": "eq5d_profile_shannon: Shannon's informativity indices",
      "topics": [
        "eq5d_profile_shannon"
      ]
    },
    {
      "page": "eq5d_profile_top_states",
      "title": "eq5d_profile_top_states: Prevalence of the 10 most frequently observed self-reported health states",
      "topics": [
        "eq5d_profile_top_states"
      ]
    },
    {
      "page": "eq5d_profile_worse_dimensions_by_group_plot",
      "title": "This function identifies respondents with a \"Worsen\" PCHC state (i.e., overall health state got worse between levels_fu[1] and levels_fu[2]), checks dimension-specific changes (e.g., mo_diff < 0), and summarizes by a grouping variable (e.g., procedure) and time points. It returns a data table and a ggplot object.",
      "topics": [
        "eq5d_profile_worse_dimensions_by_group_plot"
      ]
    },
    {
      "page": "eq5d_utility_by_group_plot",
      "title": "eq5d_utility_by_group_plot: Mean EQ-5D values and 95% confidence intervals: all vs by groupvar",
      "topics": [
        "eq5d_utility_by_group_plot"
      ]
    },
    {
      "page": "eq5d_utility_change_by_group_plot",
      "title": "eq5d_utility_change_by_group_plot: EQ-5D values: smoothed lines and confidence intervals by groupvar",
      "topics": [
        "eq5d_utility_change_by_group_plot"
      ]
    },
    {
      "page": "eq5d_utility_distribution_plot",
      "title": "eq5d_utility_distribution_plot: EQ-5D values: smoothed lines and confidence intervals by groupvar",
      "topics": [
        "eq5d_utility_distribution_plot"
      ]
    },
    {
      "page": "eq5d_utility_norms_comparison",
      "title": "eq5d_utility_norms_comparison:EQ-5D values: by age and groupvar",
      "topics": [
        "eq5d_utility_norms_comparison"
      ]
    },
    {
      "page": "eq5d_utility_over_time_plot",
      "title": "eq5d_utility_over_time_plot: EQ-5D values by timepoints: mean values and 95% confidence intervals",
      "topics": [
        "eq5d_utility_over_time_plot"
      ]
    },
    {
      "page": "eq5d_utility_summary",
      "title": "eq5d_utility_summary: EQ-5D values: by timepoints",
      "topics": [
        "eq5d_utility_summary"
      ]
    },
    {
      "page": "eq5d_utility_summary_by_group",
      "title": "eq5d_utility_summary_by_group:EQ-5D values: by groupvar",
      "topics": [
        "eq5d_utility_summary_by_group"
      ]
    },
    {
      "page": "eq5d_utility_vas_scatter_plot",
      "title": "eq5d_utility_vas_scatter_plot: EQ-5D values: smoothed lines and confidence intervals by groupvar",
      "topics": [
        "eq5d_utility_vas_scatter_plot"
      ]
    },
    {
      "page": "eq5d_vas_distribution_table",
      "title": "eq5d_vas_distribution_table: EQ VAS Scores frequency of mid-points",
      "topics": [
        "eq5d_vas_distribution_table"
      ]
    },
    {
      "page": "eq5d_vas_grouped_distribution_plot",
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