| counting_process | Process Survival Data into Counting Process Format |
| cut_data_by_date | Cut a Dataset for Analysis at a Specified Date |
| cut_data_by_event | Cut a Dataset for Analysis at a Specified Event Count |
| Ex1delayedEffect | Time-to-event data example 1 for non-proportional hazards... |
| Ex2delayedEffect | Time-to-event data example 2 for non-proportional hazards... |
| Ex3curewithph | Time-to-event data example 3 for non-proportional hazards... |
| Ex4belly | Time-to-event data example 4 for non-proportional hazards... |
| Ex5widening | Time-to-event data example 5 for non-proportional hazards... |
| Ex6crossing | Time-to-event data example 6 for non-proportional hazards... |
| fit_pwexp | Piecewise exponential survival estimation |
| get_cut_date_by_event | Get Date at Which an Event Count is Reached |
| MBdelayed | Simulated survival dataset with delayed treatment effect |
| mb_weight | Magirr and Burman Modestly Weighted Logrank Tests |
| pvalue_maxcombo | MaxCombo p-value |
| randomize_by_fixed_block | Permuted fixed block randomization |
| rpw_enroll | Generate Piecewise Exponential Enrollment |
| rpwexp | The Piecewise Exponential Distribution |
| rpwexpinvRcpp | The Piecewise Exponential Distribution using inverse CDF... |
| rpwexpRcpp | The Piecewise Exponential Distribution in C++ |
| simfix2simPWSurv | Conversion of enrollment and failure rates from sim_fixed_n()... |
| sim_fixed_n | Simulation of fixed sample size design for time-to-event... |
| sim_pw_surv | Simulate a stratified time-to-event outcome randomized trial |
| simtrial-package | simtrial: Clinical Trial Simulation |
| tenFHcorr | Fleming-Harrington Weighted Logrank Tests plus Correlations |
| wlr | Fleming-Harrington Weighted Logrank Tests |
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