{ "_id": "6a103e89acfb0bcc41c9c9dc", "Package": "eq5dsuite", "Type": "Package", "Title": "Handling and Analysing EQ-5d Data", "Version": "2.0.0", "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 ", "Description": "The EQ-5D is a widely-used standarized instrument for\nmeasuring Health Related Quality Of Life (HRQOL), developed by\nthe EuroQol group . 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 (mapping EQ-5D-5L responses to\nEQ-5D-3L index values), or the recently developed reverse\ncrosswalk by van Hout et al. (2021)\n (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 analyze EQ-5D data according to the recommended\nguidelines outlined in \"Methods for Analyzing and Reporting\nEQ-5D data\" by Devlin et al. (2020)\n.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.3", "Config/testthat/edition": "3", "Language": "en-US", "Repository": "https://mih-old.r-universe.dev", "Date/Publication": "2026-04-01 13:53:46 UTC", "RemoteUrl": "https://github.com/mih-old/eq5dsuite", "RemoteRef": "HEAD", "RemoteSha": "d2722a34d8d90ee36b049ba01603ff2cfbe7bd8e", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-11 09:12:02 UTC", "User": "root" }, "Author": "Kim Rand [aut, cre] (ORCID: ),\nOliver Rivero-Arias [aut] (ORCID:\n),\nIryna Schlackow [aut] (ORCID: ),\nAnabel Estévez-Carrillo [aut] (ORCID:\n)", "MD5sum": "6bf0c72443ea783f59b278f35c807835", "_user": "mih-old", "_type": "src", "_file": "eq5dsuite_2.0.0.tar.gz", "_fileid": "67a8c157dfc74ca6674b098366bb2aa863f8c5f5ff1cb28ed35e3c4467134d42", "_filesize": 1124147, "_sha256": "67a8c157dfc74ca6674b098366bb2aa863f8c5f5ff1cb28ed35e3c4467134d42", "_created": "2026-05-11T09:12:02.000Z", "_published": "2026-05-22T11:31:21.592Z", "_distro": "noble", "_jobs": [ { "job": 77370943749, "time": 147, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "6914615040" }, { "job": 77370943677, "time": 170, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "6914622565" }, { "job": 77370943523, "time": 221, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "6914628036" }, { "job": 77370943720, "time": 167, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "6914611699" }, { "job": 77370943569, "time": 168, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "6914564245" }, { "job": 77370942976, "time": 111, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7159451992" }, { "job": 77370943707, "time": 118, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "6914605204" }, { "job": 77370943923, "time": 102, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "6914599921" }, { "job": 77370943778, "time": 99, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "6914599254" } ], "_buildurl": "https://github.com/r-universe/mih-old/actions/runs/25660995019", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/mih-old/eq5dsuite", "_commit": { "id": "d2722a34d8d90ee36b049ba01603ff2cfbe7bd8e", "author": "Anabel Estévez-Carrillo ", "committer": "Anabel Estévez-Carrillo ", "message": "Version 2.0.0\n", "time": 1775051626 }, "_maintainer": { "name": "Kim Rand", "email": "krand@mathsinhealth.com", "login": "mih-old", "twitter": "@mathsinhealth", "uuid": 105795282, "orcid": "0000-0001-7692-4099" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5", "role": "Depends" }, { "package": "ggplot2", "role": "Imports" }, { "package": "moments", "role": "Imports" }, { "package": "RColorBrewer", "role": "Imports" }, { "package": "rlang", "role": "Imports" }, { "package": "scales", "role": "Imports" }, { "package": "rappdirs", "role": "Imports" }, { "package": "shiny", "role": "Suggests" }, { "package": "DT", "role": "Suggests" }, { "package": "bslib", "role": "Suggests" }, { "package": "readxl", "role": "Suggests" }, { "package": "spelling", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" } ], "_owner": "mih-old", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-25", "n": 2 }, { "week": "2025-26", "n": 2 }, { "week": "2025-43", "n": 1 }, { "week": "2026-13", "n": 5 }, { "week": "2026-14", "n": 2 } ], "_tags": [], "_stars": 0, "_contributors": [ { "user": "aestevezcarrillo", "count": 15, "uuid": 124775141 }, { "user": "intelligentaccident", "count": 7, "uuid": 22443124 }, { "user": "ischlackow", "count": 3, "uuid": 52787042 }, { "user": "mih-old", "count": 2, "uuid": 105795282 } ], "_userbio": { "uuid": 105795282, "type": "user", "name": "Maths in Health" }, "_downloads": { "count": 507, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/eq5dsuite" }, "_devurl": "https://github.com/mih-old/eq5dsuite", "_searchresults": 0, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/eq5dsuite.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/mih-old/eq5dsuite", "_realowner": "mih-old", "_cranurl": true, "_releases": [ { "version": "1.0.0", "date": "2024-05-21" }, { "version": "1.0.1", "date": "2025-06-24" }, { "version": "1.0.2", "date": "2026-03-24" }, { "version": "1.0.3", "date": "2026-04-11" } ], "_exports": [ ".add_utility", ".check_uniqueness", ".gen_colours", ".get_lfs", ".get_names", ".getmode", ".modify_ggplot_theme", ".pchc", ".pchc_plot_by_dim", ".pchctab", ".prep_eq5d", ".prep_fu", ".prep_vas", ".summary_cts_by_fu", ".summary_mean_ci", ".summary_table_2_1", ".summary_table_4_3", ".summary_table_4_4", "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_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", "make_all_EQ_indexes", "make_all_EQ_states", "make_dummies", "run_app", "toEQ5Ddims", "toEQ5Dindex" ], "_datasets": [ { "name": "example_data", "title": "example_data", "object": "example_data", "class": [ "data.frame" ], "fields": [ "id", "time", "mo", "sc", "ua", "pd", "ad", "vas", "providercode", "procedure", "year", "ageband", "gender" ], "rows": 10000, "table": true, "tojson": true } ], "_help": [ { "page": "dot-add_utility", "title": "Add utility values to a data frame", "topics": [ ".add_utility" ] }, { "page": "dot-check_uniqueness", "title": "Check the uniqueness of groups This function takes a data frame `df` and a vector of columns `group_by`, and checks whether the combinations of values in the columns specified by `group_by` are unique. If the combinations are not unique, a warning message is printed.", "topics": [ ".check_uniqueness" ] }, { "page": "dot-EQxwrprob", "title": ".EQxwrprob", "topics": [ ".EQxwrprob" ] }, { "page": "dot-freqtab", "title": "Helper function for frequency of levels by dimensions tables", "topics": [ ".freqtab" ] }, { "page": "dot-gen_colours", "title": "Generate colours for PCHC figures", "topics": [ ".gen_colours" ] }, { "page": "dot-get_lfs", "title": "Calculate the Level Frequency Score (LFS)", "topics": [ ".get_lfs" ] }, { "page": "dot-get_names", "title": "Replace NULL names with default values", "topics": [ ".get_names" ] }, { "page": "dot-getmode", "title": "Get the mode of a vector.", "topics": [ ".getmode" ] }, { "page": "dot-modify_ggplot_theme", "title": "Modify ggplot2 theme", "topics": [ ".modify_ggplot_theme" ] }, { "page": "dot-pchc", "title": "Wrapper to determine Paretian Classification of Health Change", "topics": [ ".pchc" ] }, { "page": "dot-pchc_plot_by_dim", "title": "Wrapper to generate Paretian Classification of Health Change plot by dimension", "topics": [ ".pchc_plot_by_dim" ] }, { "page": "dot-pchctab", "title": ".pchctab: Changes in health according to the PCHC (Paretian Classification of Health Change)", "topics": [ ".pchctab" ] }, { "page": "dot-prep_eq5d", "title": "Data checking/preparation: EQ-5D variables", "topics": [ ".prep_eq5d" ] }, { "page": "dot-prep_fu", "title": "Data checking/preparation: follow-up variable", "topics": [ ".prep_fu" ] }, { "page": "dot-prep_vas", "title": "Data checking/preparation: VAS variable", "topics": [ ".prep_vas" ] }, { "page": "dot-pstate3t5", "title": ".pstate3t5", "topics": [ ".pstate3t5" ] }, { "page": "dot-pstate5t3", "title": ".pstate5t3", "topics": [ ".pstate5t3" ] }, { "page": "dot-summary_cts_by_fu", "title": "Wrapper to summarise a continuous variable by follow-up (FU)", "topics": [ ".summary_cts_by_fu" ] }, { "page": "dot-summary_mean_ci", "title": "Wrapper to calculate summary mean with 95% confidence interval", "topics": [ ".summary_mean_ci" ] }, { "page": "dot-summary_table_2_1", "title": "Wrapper for the repetitive code in function_table_2_1. Data frame summary", "topics": [ ".summary_table_2_1" ] }, { "page": "dot-summary_table_4_3", "title": "Summary wrapper for Table 4.3", "topics": [ ".summary_table_4_3" ] }, { "page": "dot-summary_table_4_4", "title": "Summary wrapper for Table 4.4", "topics": [ ".summary_table_4_4" ] }, { "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. The, it prodcuces 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_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", "title": "eq5d_vas_grouped_distribution_plot: Mid-point EQ VAS scores", "topics": [ "eq5d_vas_grouped_distribution_plot" ] }, { "page": "eq5d_vas_histogram", "title": "eq5d_vas_histogram: EQ VAS scores", "topics": [ "eq5d_vas_histogram" ] }, { "page": "eq5d_vas_summary", "title": "eq5d_vas_summary: EQ VAS Score by timepoints", "topics": [ "eq5d_vas_summary" ] }, { "page": "eq5d3l", "title": "eq5d3l", "topics": [ "eq5d3l" ] }, { "page": "eq5d5l", "title": "eq5d5l", "topics": [ "eq5d5l" ] }, { "page": "eq5dy3l", "title": "eq5dy3l", "topics": [ "eq5dy3l" ] }, { "page": "eqvs_add", "title": "eqvs_add", "topics": [ "eqvs_add" ] }, { "page": "eqvs_display", "title": "eqvs_display", "topics": [ "eqvs_display" ] }, { "page": "eqvs_drop", "title": "eqvs_drop", "topics": [ "eqvs_drop" ] }, { "page": "eqvs_load", "title": "eqvs_load", "topics": [ "eqvs_load" ] }, { "page": "eqxw", "title": "eqxw", "topics": [ "eqxw" ] }, { "page": "eqxw_UK", "title": "eqxw_UK", "topics": [ "eqxw_UK" ] }, { "page": "eqxwr", "title": "eqxwr", "topics": [ "eqxwr" ] }, { "page": "example_data", "title": "example_data", "topics": [ "example_data" ] }, { "page": "make_all_EQ_indexes", "title": "make_all_EQ_indexes", 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