add_riskdiff            Split function to configure risk difference
                        column
add_rowcounts           Layout-creating function to add row total
                        counts
aesi_label              Labels for adverse event baskets
analyze_colvars_functions
                        Analyze functions in columns
analyze_functions       Analyze functions
analyze_variables       Analyze variables
analyze_vars_in_cols    Analyze numeric variables in columns
append_varlabels        Add variable labels to top left corner in table
arrange_grobs           Arrange multiple grobs
as.rtable               Convert to 'rtable'
check_diff_prop_ci      Check proportion difference arguments
clogit_with_tryCatch    Wrapper function of survival::clogit
combination_function    Class for 'CombinationFunction'
combine_counts          Combine counts
combine_groups          Reference and treatment group combination
combine_vectors         Element-wise combination of two vectors
compare_variables       Compare variables between groups
control_analyze_vars    Control function for descriptive statistics
control_annot           Control functions for Kaplan-Meier plot
                        annotation tables
control_coxph           Control function for Cox-PH model
control_coxreg          Control function for Cox regression
control_incidence_rate
                        Control function for incidence rate
control_lineplot_vars   Control function for 'g_lineplot()'
control_logistic        Control function for logistic regression model
                        fitting
control_riskdiff        Control function for risk difference column
control_step            Control function for subgroup treatment effect
                        pattern (STEP) calculations
control_surv_time       Control function for 'survfit' models for
                        survival time
control_surv_timepoint
                        Control function for 'survfit' models for
                        patients' survival rate at time points
count_occurrences       Count occurrences
count_occurrences_by_grade
                        Count occurrences by grade
count_patients_with_event
                        Count the number of patients with a particular
                        event
count_patients_with_flags
                        Count the number of patients with particular
                        flags
count_values            Count specific values
cox_regression          Cox proportional hazards regression
cox_regression_inter    Cox regression helper function for interactions
cut_quantile_bins       Cut numeric vector into empirical quantile bins
d_count_abnormal_by_baseline
                        Description function for
                        's_count_abnormal_by_baseline()'
d_count_cumulative      Description of cumulative count
d_count_missed_doses    Description function that calculates labels for
                        's_count_missed_doses()'
d_onco_rsp_label        Description of standard oncology response
d_pkparam               Generate PK reference dataset
d_proportion            Description of the proportion summary
d_proportion_diff       Description of method used for proportion
                        comparison
d_rsp_subgroups_colvars
                        Labels for column variables in binary response
                        by subgroup table
d_survival_subgroups_colvars
                        Labels for column variables in survival
                        duration by subgroup table
d_test_proportion_diff
                        Description of the difference test between two
                        proportions
day2month               Conversion of days to months
decorate_grob           Add titles, footnotes, page Number, and a
                        bounding box to a grid grob
decorate_grob_set       Decorate set of 'grob's and add page numbering
default_na_str          Default string replacement for 'NA' values
default_stats_formats_labels
                        Get default statistical methods and their
                        associated formats, labels, and indent
                        modifiers
df_explicit_na          Encode categorical missing values in a data
                        frame
draw_grob               Draw 'grob'
estimate_multinomial_rsp
                        Estimate proportions of each level of a
                        variable
estimate_proportion     Proportion estimation
ex_data                 Simulated CDISC data for examples
explicit_na             Missing data
extract_rsp_biomarkers
                        Prepare response data estimates for multiple
                        biomarkers in a single data frame
extract_rsp_subgroups   Prepare response data for population subgroups
                        in data frames
extract_survival_biomarkers
                        Prepare survival data estimates for multiple
                        biomarkers in a single data frame
extract_survival_subgroups
                        Prepare survival data for population subgroups
                        in data frames
extreme_format          Format extreme values
f_conf_level            Utility function to create label for confidence
                        interval
f_pval                  Utility function to create label for p-value
factor_utils            Factor utilities
fit_coxreg              Fitting functions for Cox proportional hazards
                        regression
fit_logistic            Fit for logistic regression
fit_rsp_step            Subgroup treatment effect pattern (STEP) fit
                        for binary (response) outcome
fit_survival_step       Subgroup treatment effect pattern (STEP) fit
                        for survival outcome
forest_viewport         Create a viewport tree for the forest plot
format_auto             Format automatically using data significant
                        digits
format_count_fraction   Format count and fraction
format_count_fraction_fixed_dp
                        Format count and percentage with fixed single
                        decimal place
format_count_fraction_lt10
                        Format count and fraction with special case for
                        count < 10
format_extreme_values   Format a single extreme value
format_extreme_values_ci
                        Format extreme values part of a confidence
                        interval
format_fraction         Format fraction and percentage
format_fraction_fixed_dp
                        Format fraction and percentage with fixed
                        single decimal place
format_fraction_threshold
                        Format fraction with lower threshold
format_sigfig           Format numeric values by significant figures
format_xx               Format XX as a formatting function
formatting_functions    Formatting functions
g_bland_altman          Bland-Altman plot
g_forest                Create a forest plot from an 'rtable'
g_ipp                   Individual patient plots
g_km                    Kaplan-Meier plot
g_lineplot              Line plot with optional table
g_step                  Create a STEP graph
g_waterfall             Horizontal waterfall plot
get_covariates          Utility function to return a named list of
                        covariate names
get_smooths             Smooth function with optional grouping
groups_list_to_df       Convert list of groups to a data frame
h_adlb_abnormal_by_worst_grade
                        Helper function to prepare ADLB for
                        'count_abnormal_by_worst_grade()'
h_adlb_worsen           Helper function to prepare ADLB with worst labs
h_adsl_adlb_merge_using_worst_flag
                        Helper function for deriving analysis datasets
                        for select laboratory tables
h_ancova                Helper function to return results of a linear
                        model
h_append_grade_groups   Helper function for
                        's_count_occurrences_by_grade()'
h_biomarkers_subgroups
                        Helper functions for tabulation of a single
                        biomarker result
h_col_indices           Obtain column indices
h_count_cumulative      Helper function for 's_count_cumulative()'
h_cox_regression        Helper functions for Cox proportional hazards
                        regression
h_data_plot             Helper function to tidy survival fit data
h_decompose_gg          'ggplot' decomposition
h_format_row            Helper function to format the optional
                        'g_lineplot' table
h_g_ipp                 Helper function to create simple line plot over
                        time
h_ggkm                  Helper function to create a KM plot
h_grob_coxph            Helper function to create Cox-PH grobs
h_grob_median_surv      Helper function to create survival estimation
                        grobs
h_grob_tbl_at_risk      Helper function to create patient-at-risk grobs
h_grob_y_annot          Helper function to create grid object with
                        y-axis annotation
h_km_layout             Helper function to prepare a KM layout
h_logistic_regression   Helper functions for multivariate logistic
                        regression
h_map_for_count_abnormal
                        Helper function to create a map data frame for
                        'trim_levels_to_map()'
h_odds_ratio            Helper functions for odds ratio estimation
h_pkparam_sort          Sort pharmacokinetic data by 'PARAM' variable
h_ppmeans               Function to return the estimated means using
                        predicted probabilities
h_prop_diff             Helper functions to calculate proportion
                        difference
h_proportions           Helper functions for calculating proportion
                        confidence intervals
h_response_biomarkers_subgroups
                        Helper functions for tabulating biomarker
                        effects on binary response by subgroup
h_response_subgroups    Helper functions for tabulating binary response
                        by subgroup
h_split_by_subgroups    Split data frame by subgroups
h_split_param           Split parameters
h_stack_by_baskets      Helper function to create a new SMQ variable in
                        ADAE by stacking SMQ and/or CQ records.
h_step                  Helper functions for subgroup treatment effect
                        pattern (STEP) calculations
h_survival_biomarkers_subgroups
                        Helper functions for tabulating biomarker
                        effects on survival by subgroup
h_survival_duration_subgroups
                        Helper functions for tabulating survival
                        duration by subgroup
h_tbl_coxph_pairwise    Helper function for generating a pairwise
                        Cox-PH table
h_tbl_median_surv       Helper function for survival estimations
h_worsen_counter        Helper function to analyze patients for
                        's_count_abnormal_lab_worsen_by_baseline()'
h_xticks                Helper function to calculate x-tick positions
imputation_rule         Apply 1/3 or 1/2 imputation rule to data
labels_or_names         Labels or names of list elements
labels_use_control      Update labels according to control
                        specifications
logistic_regression_cols
                        Logistic regression multivariate column layout
                        function
logistic_summary_by_flag
                        Logistic regression summary table
month2day               Conversion of months to days
odds_ratio              Odds ratio estimation
prop_diff               Proportion difference estimation
prune_occurrences       Occurrence table pruning
range_noinf             Re-implemented 'range()' default S3 method for
                        numerical objects
reapply_varlabels       Reapply variable labels
response_biomarkers_subgroups
                        Tabulate biomarker effects on binary response
                        by subgroup
rtable2gg               Convert 'rtable' objects to 'ggplot' objects
s_bland_altman          Bland-Altman analysis
sas_na                  Convert strings to 'NA'
score_occurrences       Occurrence table sorting
split_cols_by_groups    Split columns by groups of levels
stack_grobs             Stack multiple grobs
stat_mean_ci            Confidence interval for mean
stat_mean_pval          p-Value of the mean
stat_median_ci          Confidence interval for median
stat_propdiff_ci        Proportion difference and confidence interval
strata_normal_quantile
                        Helper function for the estimation of
                        stratified quantiles
summarize_colvars       Summarize variables in columns
summarize_functions     Summarize functions
summarize_logistic      Multivariate logistic regression table
survival_biomarkers_subgroups
                        Tabulate biomarker effects on survival by
                        subgroup
tern-package            tern Package
tidy.glm                Custom tidy method for binomial GLM results
tidy.step               Custom tidy method for STEP results
tidy_coxreg             Custom tidy methods for Cox regression
to_n                    Replicate entries of a vector if required
to_string_matrix        Convert table into matrix of strings
univariate              Univariate formula special term
update_weights_strat_wilson
                        Helper function for the estimation of weights
                        for 'prop_strat_wilson()'
utils_split_funs        Custom split functions
