| admin_censoring_events | Add recruitment time to Dataset | 
| admin_censoring_time | Add recruitment time to Dataset | 
| analyse_aft | Analyse Dataset with accelarated failure time models | 
| analyse_ahr | Analyse the dataset using extimators for the the average hazard ratio | 
| analyse_coxph | Analyse Dataset with the Cox Protportional Hazards Model | 
| analyse_describe | Create a Function for Descriptive Statistics of a Dataset | 
| analyse_diff_median_survival | Analyse the dataset using differnce in median survival | 
| analyse_gehan_wilcoxon | Create Analyse function for Gehan Wilcoxon test | 
| analyse_group_sequential | Create Analyse Functions for Group Sequential Design | 
| analyse_logrank | Analyse Dataset with the Logrank Test | 
| analyse_logrank_fh_weights | Analyse Dataset with the Fleming Harrington weighted Logrank Test | 
| analyse_maxcombo | Analyse Dataset with the Maxcombo Test | 
| analyse_milestone_survival | Analyse the Dataset using difference or quotient of milestone survival | 
| analyse_modelstly_weighted | Create Analyse function for the modestly weighted logrank test | 
| analyse_piecewise_exponential | Create Analyse function for piecewise exponential model | 
| analyse_rmst_diff | Analyse the Dataset using the difference in RMST | 
| analyse_weibull | Analyse Dataset with Weibull Regression | 
| assumptions_crossing_hazards | Generate Dataset with crossing hazards | 
| assumptions_delayed_effect | Generate Dataset with delayed effect | 
| assumptions_progression | Create an empty assumtions data.frame for generate_progression | 
| assumptions_subgroup | Generate Dataset with different treatment effect in subgroup | 
| cen_rate_from_cen_prop_crossing_hazards | Generate Dataset with crossing hazards | 
| cen_rate_from_cen_prop_delayed_effect | Generate Dataset with delayed effect | 
| cen_rate_from_cen_prop_progression | Create an empty assumtions data.frame for generate_progression | 
| cen_rate_from_cen_prop_subgroup | Generate Dataset with different treatment effect in subgroup | 
| combination_tests_delayed | Results of an example simulation | 
| combined_plot | Functions for Plotting and Reporting Results | 
| create_summarise_function | Create a summarise function from a named list of functions | 
| d2m | Functions to Convert Between Days and Months and Medians and Rates | 
| design_fixed_followup | Create a data.frame with an example fixed design | 
| design_group_sequential | Create a data.frame with an example group sequential design | 
| generate_crossing_hazards | Generate Dataset with crossing hazards | 
| generate_delayed_effect | Generate Dataset with delayed effect | 
| generate_progression | Create an empty assumtions data.frame for generate_progression | 
| generate_subgroup | Generate Dataset with different treatment effect in subgroup | 
| hazard_before_progression_from_PH_effect_size | Create an empty assumtions data.frame for generate_progression | 
| hazard_subgroup_from_PH_effect_size | Generate Dataset with different treatment effect in subgroup | 
| hr_after_crossing_from_PH_effect_size | Generate Dataset with crossing hazards | 
| hr_after_onset_from_PH_effect_size | Generate Dataset with delayed effect | 
| labs_from_labels | Add ggplot axis labels from labels attribute | 
| m2d | Functions to Convert Between Days and Months and Medians and Rates | 
| m2r | Functions to Convert Between Days and Months and Medians and Rates | 
| merge_additional_results | Merge results from additional or updated simulations | 
| mixture_cdf_fun | Fast implementation of hazard, cumulative hazard, ... for mixtures of subpopulations | 
| mixture_cumhaz_fun | Fast implementation of hazard, cumulative hazard, ... for mixtures of subpopulations | 
| mixture_haz_fun | Fast implementation of hazard, cumulative hazard, ... for mixtures of subpopulations | 
| mixture_pdf_fun | Fast implementation of hazard, cumulative hazard, ... for mixtures of subpopulations | 
| mixture_quant_fun | Fast implementation of hazard, cumulative hazard, ... for mixtures of subpopulations | 
| mixture_rng_fun | Fast implementation of hazard, cumulative hazard, ... for mixtures of subpopulations | 
| mixture_surv_fun | Fast implementation of hazard, cumulative hazard, ... for mixtures of subpopulations | 
| progression_cdf_fun | Fast implementation of cumulative density function, survival function, ... for scenarios with progression | 
| progression_haz_fun | Fast implementation of cumulative density function, survival function, ... for scenarios with progression | 
| progression_pdf_fun | Fast implementation of cumulative density function, survival function, ... for scenarios with progression | 
| progression_quant_fun | Fast implementation of cumulative density function, survival function, ... for scenarios with progression | 
| progression_rate_from_progression_prop | Create an empty assumtions data.frame for generate_progression | 
| progression_surv_fun | Fast implementation of cumulative density function, survival function, ... for scenarios with progression | 
| r2m | Functions to Convert Between Days and Months and Medians and Rates | 
| random_censoring_exp | Apply Random Exponentially Distributed Censoring | 
| recruitment_uniform | Add recruitment time to Dataset | 
| rename_results_column | Rename Columns in Simulation Results and Update Attributes | 
| rename_results_column_pattern | Rename Columns in Simulation Results and Update Attributes | 
| results_pivot_longer | Functions for Plotting and Reporting Results | 
| shhr_gg | Plot of survival, hazard and hazard ratio of two groups as a function of time using ggplot and patchwork | 
| summarise_describe | Create a Function for Descriptive Statistics of a Dataset | 
| summarise_estimator | Generic Summarise function for esitmators | 
| summarise_group_sequential | Create Analyse Functions for Group Sequential Design | 
| summarise_test | Generic summarise function for tests | 
| true_summary_statistics_crossing_hazards | Generate Dataset with crossing hazards | 
| true_summary_statistics_delayed_effect | Generate Dataset with delayed effect | 
| true_summary_statistics_progression | Create an empty assumtions data.frame for generate_progression | 
| true_summary_statistics_subgroup | Generate Dataset with different treatment effect in subgroup | 
| upsert_merge | Merge results from additional or updated simulations | 
| wrap_all_in_preserve_seed | Wrappers around Analyse Functions | 
| wrap_all_in_trycatch | Wrappers around Analyse Functions |