Simulate Non-Proportional Hazards

Documentation for package ‘SimNPH’ version 0.5.5

Help Pages

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
SimNPH	SimNPH: Simulate Non Proportional Hazards
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