Package index • SimNPH

All functions

recruitment_uniform() admin_censoring_time() admin_censoring_events(): 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() summarise_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() summarise_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

combination_tests_delayed: Results of an example simulation

create_summarise_function(): Create a summarise function from a named list of functions

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() assumptions_crossing_hazards() hr_after_crossing_from_PH_effect_size() cen_rate_from_cen_prop_crossing_hazards() true_summary_statistics_crossing_hazards(): Generate Dataset with crossing hazards

generate_delayed_effect() assumptions_delayed_effect() hr_after_onset_from_PH_effect_size() cen_rate_from_cen_prop_delayed_effect() true_summary_statistics_delayed_effect(): Generate Dataset with delayed effect

assumptions_progression() generate_progression() true_summary_statistics_progression() progression_rate_from_progression_prop() cen_rate_from_cen_prop_progression() hazard_before_progression_from_PH_effect_size(): Create an empty assumtions data.frame for generate_progression

generate_subgroup() assumptions_subgroup() true_summary_statistics_subgroup() hazard_subgroup_from_PH_effect_size() cen_rate_from_cen_prop_subgroup(): Generate Dataset with different treatment effect in subgroup

labs_from_labels(): Add ggplot axis labels from labels attribute

upsert_merge() merge_additional_results(): Merge results from additional or updated simulations

mixture_haz_fun() mixture_cumhaz_fun() mixture_cdf_fun() mixture_pdf_fun() mixture_surv_fun() mixture_quant_fun() mixture_rng_fun(): Fast implementation of hazard, cumulative hazard, ... for mixtures of subpopulations

progression_cdf_fun() progression_surv_fun() progression_pdf_fun() progression_haz_fun() progression_quant_fun(): Fast implementation of cumulative density function, survival function, ... for scenarios with progression

r2m() m2r() m2d() d2m(): Functions to Convert Between Days and Months and Medians and Rates

random_censoring_exp(): Apply Random Exponentially Distributed Censoring

rename_results_column() rename_results_column_pattern(): Rename Columns in Simulation Results and Update Attributes

results_pivot_longer() combined_plot(): 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_estimator(): Generic Summarise function for esitmators

summarise_test(): Generic summarise function for tests

wrap_all_in_trycatch() wrap_all_in_preserve_seed(): Wrappers around Analyse Functions