.EQxwrprob              .EQxwrprob
.add_utility            Add utility values to a data frame
.check_uniqueness       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.
.freqtab                Helper function for frequency of levels by
                        dimensions tables
.gen_colours            Generate colours for PCHC figures
.get_lfs                Calculate the Level Frequency Score (LFS)
.get_names              Replace NULL names with default values
.getmode                Get the mode of a vector.
.modify_ggplot_theme    Modify ggplot2 theme
.pchc                   Wrapper to determine Paretian Classification of
                        Health Change
.pchc_plot_by_dim       Wrapper to generate Paretian Classification of
                        Health Change plot by dimension
.pchctab                .pchctab: Changes in health according to the
                        PCHC (Paretian Classification of Health Change)
.prep_eq5d              Data checking/preparation: EQ-5D variables
.prep_fu                Data checking/preparation: follow-up variable
.prep_vas               Data checking/preparation: VAS variable
.pstate3t5              .pstate3t5
.pstate5t3              .pstate5t3
.summary_cts_by_fu      Wrapper to summarise a continuous variable by
                        follow-up (FU)
.summary_mean_ci        Wrapper to calculate summary mean with 95%
                        confidence interval
.summary_table_2_1      Wrapper for the repetitive code in
                        function_table_2_1. Data frame summary
.summary_table_4_3      Summary wrapper for Table 4.3
.summary_table_4_4      Summary wrapper for Table 4.4
eq5d                    eq5d
eq5d3l                  eq5d3l
eq5d5l                  eq5d5l
eq5d_profile_better_dimensions_by_group_plot
                        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.
eq5d_profile_change_summary
                        eq5d_profile_change_summary: Frequency of
                        levels by dimensions, by follow-up
eq5d_profile_density_curve
                        eq5d_profile_density_curve: Generate a Health
                        State Density Curve (HSDC) for EQ-5D Data
eq5d_profile_dimension_change_table
                        eq5d_profile_dimension_change_table: Changes in
                        levels in each dimension, percentages of total
                        and of type of change
eq5d_profile_health_profile_grid
                        eq5d_profile_health_profile_grid: Health
                        Profile Grid (HPG) for Two Time Points
eq5d_profile_level_summary
                        eq5d_profile_level_summary: Frequency of levels
                        by dimensions, cross-sectional
eq5d_profile_level_summary_by_group
                        eq5d_profile_level_summary_by_group: Frequency
                        of levels by dimensions, separated by category
eq5d_profile_lfs_distribution
                        eq5d_profile_lfs_distribution: Distribution of
                        the EQ-5D states by LFS (Level Frequency Score)
eq5d_profile_lfs_mean_utility
                        eq5d_profile_lfs_mean_utility: Number of
                        observations in the LFS (Level Frequency Score)
                        according to the EQ-5D values
eq5d_profile_lfs_utility_plot
                        eq5d_profile_lfs_utility_plot: EQ-5D values
                        plotted against LFS
eq5d_profile_lfs_utility_summary
                        eq5d_profile_lfs_utility_summary: Summary
                        statistics of EQ-5D values by LFS (Level
                        Frequency Score)
eq5d_profile_lss_utility_plot
                        eq5d_profile_lss_utility_plot: EQ-5D values
                        plotted against LSS
eq5d_profile_lss_utility_summary
                        eq5d_profile_lss_utility_summary: Summary
                        statistics for the EQ-5D values by all the
                        different LSSs (Level Sum Scores)
eq5d_profile_mixed_dimensions_by_group_plot
                        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)
eq5d_profile_pchc_by_group_plot
                        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.
eq5d_profile_pchc_table
                        eq5d_profile_pchc_table: Changes in health
                        according to the PCHC (Paretian Classification
                        of Health Change)
eq5d_profile_pchc_with_no_problems_table
                        eq5d_profile_pchc_with_no_problems_table:
                        Changes in health according to the PCHC, taking
                        account of those with no problems
eq5d_profile_top_states
                        eq5d_profile_top_states: Prevalence of the 10
                        most frequently observed self-reported health
                        states
eq5d_profile_worse_dimensions_by_group_plot
                        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.
eq5d_utility_by_group_plot
                        eq5d_utility_by_group_plot: Mean EQ-5D values
                        and 95% confidence intervals: all vs by
                        groupvar
eq5d_utility_change_by_group_plot
                        eq5d_utility_change_by_group_plot: EQ-5D
                        values: smoothed lines and confidence intervals
                        by groupvar
eq5d_utility_distribution_plot
                        eq5d_utility_distribution_plot: EQ-5D values:
                        smoothed lines and confidence intervals by
                        groupvar
eq5d_utility_norms_comparison
                        eq5d_utility_norms_comparison:EQ-5D values: by
                        age and groupvar
eq5d_utility_over_time_plot
                        eq5d_utility_over_time_plot: EQ-5D values by
                        timepoints: mean values and 95% confidence
                        intervals
eq5d_utility_summary    eq5d_utility_summary: EQ-5D values: by
                        timepoints
eq5d_utility_summary_by_group
                        eq5d_utility_summary_by_group:EQ-5D values: by
                        groupvar
eq5d_utility_vas_scatter_plot
                        eq5d_utility_vas_scatter_plot: EQ-5D values:
                        smoothed lines and confidence intervals by
                        groupvar
eq5d_vas_distribution_table
                        eq5d_vas_distribution_table: EQ VAS Scores
                        frequency of mid-points
eq5d_vas_grouped_distribution_plot
                        eq5d_vas_grouped_distribution_plot: Mid-point
                        EQ VAS scores
eq5d_vas_histogram      eq5d_vas_histogram: EQ VAS scores
eq5d_vas_summary        eq5d_vas_summary: EQ VAS Score by timepoints
eq5dsuite-package       eq5dsuite: Standardised Tools for EQ-5D
                        Analysis
eq5dy3l                 eq5dy3l
eqvs_add                eqvs_add
eqvs_display            eqvs_display
eqvs_drop               eqvs_drop
eqvs_load               eqvs_load
eqxw                    eqxw
eqxw_UK                 eqxw_UK
eqxwr                   eqxwr
example_data            example_data
make_all_EQ_indexes     make_all_EQ_indexes
make_all_EQ_states      make_all_EQ_states
make_dummies            EQ_dummies
run_app                 Launch the eq5dsuite Shiny Application
toEQ5Ddims              toEQ5Ddims
toEQ5Dindex             Convert EQ-5D dimension scores to a five-digit
                        profile index
update_value_sets       Update eq5dsuite value sets
