boot_compare            Compare bootstrapped distributions
boot_predict            Bootstrap simulation for model prediction
check_recode            Check accurate recoding of variables
coefficient_plot        Produce a coefficient table and plot
colon_s                 Chemotherapy for Stage B/C colon cancer
coxphmulti              Cox proprotional hazards multivariable models:
                        'finalfit' model wrapper
coxphuni                Cox proprotional hazards univariable models:
                        'finalfit' model wrapper
crrmulti                Competing risks multivariable regression:
                        'finalfit' model wrapper
crruni                  Competing risks univariable regression:
                        'finalfit' model wrapper
dependent_label         Make a label for the dependent variable
extract_variable_label
                        Extract variable labels from dataframe
ff_column_totals        Add column totals to 'summary_factorlist()'
                        output
ff_expand               Summarise with mode and mean/median and expand
                        given factors
ff_formula              Generate formula as character string
ff_glimpse              Descriptive statistics for dataframe
ff_interaction          Make an interaction variable and add to
                        dataframe
ff_label                Label a variable
ff_merge                Merge a 'summary_factorlist()' table with any
                        number of model results tables.
ff_metrics              Generate common metrics for regression model
                        results
ff_mode                 Return the most frequent level in a factor
ff_newdata              Generate newdata for simulations
ff_parse_formula        Parse a formula to finalfit grammar
ff_percent_only         Include only percentages for factors in
                        'summary_factorlist' output
ff_permute              Permuate explanatory variables to produce
                        multiple output tables for common regression
                        models
ff_plot                 Produce a table and plot
ff_relabel              Relabel variables in a data frame
ff_relabel_df           Relabel variables from data frame after
                        tidyverse functions
ff_remove_p             Remove p-value from output
ff_remove_ref           Remove regression reference level row from
                        table
ff_row_totals           Add row totals to 'summary_factorlist()' output
ff_stratify_helper      Help making stratified summary_factorlist
                        tables
finalfit                Final output tables for common regression
                        models
fit2df                  Extract model fit results to dataframe
                        (generic): 'finalfit' model extractors
format_n_percent        Format n and percent as a character
glmmixed                Mixed effects binomial logistic regression
                        models: 'finalfit' model wrapper
glmmulti                Binomial logistic regression multivariable
                        models: 'finalfit' model wrapper
glmmulti_boot           Binomial logistic regression multivariable
                        models with bootstrapped confidence intervals:
                        'finalfit' model wrapper
glmuni                  Binomial logistic regression univariable
                        models: 'finalfit' model wrapper
hr_plot                 Produce a hazard ratio table and plot
labels_to_column        Labels to column names
labels_to_level         Labels to level
lmmixed                 Mixed effects linear regression models:
                        'finalfit' model wrapper
lmmulti                 Linear regression multivariable models:
                        'finalfit' model wrapper
lmuni                   Linear regression univariable models:
                        'finalfit' model wrapper
metrics_hoslem          Hosmer-Lemeshow goodness of fit test
missing_compare         Compare missing data
missing_glimpse         Summary of missing values
missing_pairs           Missing values pairs plot
missing_pattern         Characterise missing data for 'finalfit' models
missing_plot            Missing values occurrence plot
missing_predictorMatrix
                        Create predictorMatrix for use with mice
or_plot                 Produce an odds ratio table and plot
p_tidy                  Round p-values but keep trailing zeros
rm_duplicates           Remove duplicates and replace
rm_empty_block          Remove rows where all specified variables are
                        missing
round_tidy              Round values but keep trailing zeros
summary_df              Summarise with mode for factors and mean/median
                        for numeric variables
summary_factorlist      Summarise a set of factors (or continuous
                        variables) by a dependent variable
summary_factorlist_stratified
                        Summarise a set of factors (or continuous
                        variables) by a dependent variable
surv_plot               Plot survival curves with number-at-risk table
svyglmmulti             Multivariable survey-weighted generalised
                        linear models
svyglmuni               Univariable survey-weighted generalised linear
                        models
wcgs                    Western Collaborative Group Study
