as_gt                   Convert summary table to a gt object
counting_process        Process survival data into counting process
                        format
create_cut              Create a cutting function
create_test             Create a cutting test function
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
early_zero              Zero early weighting function
ex1_delayed_effect      Time-to-event data example 1 for
                        non-proportional hazards working group
ex2_delayed_effect      Time-to-event data example 2 for
                        non-proportional hazards working group
ex3_cure_with_ph        Time-to-event data example 3 for
                        non-proportional hazards working group
ex4_belly               Time-to-event data example 4 for
                        non-proportional hazards working group
ex5_widening            Time-to-event data example 5 for
                        non-proportional hazards working group
ex6_crossing            Time-to-event data example 6 for
                        non-proportional hazards working group
fh                      Fleming-Harrington weighting function
fit_pwexp               Piecewise exponential survival estimation
get_analysis_date       Derive analysis date for interim/final analysis
                        given multiple conditions
get_cut_date_by_event   Get date at which an event count is reached
maxcombo                MaxCombo test
mb                      Magirr and Burman weighting function
mb_delayed_effect       Simulated survival dataset with delayed
                        treatment effect
milestone               Milestone test for two survival curves
multitest               Perform multiple tests on trial data cutting
randomize_by_fixed_block
                        Permuted fixed block randomization
rmst                    RMST difference of 2 arms
rpwexp                  The piecewise exponential distribution
rpwexp_enroll           Generate piecewise exponential enrollment
sim_fixed_n             Simulation of fixed sample size design for
                        time-to-event endpoint
sim_gs_n                Simulate group sequential designs with fixed
                        sample size
sim_pw_surv             Simulate a stratified time-to-event outcome
                        randomized trial
summary.simtrial_gs_wlr
                        Summary of group sequential simulations.
to_sim_pw_surv          Convert enrollment and failure rates from
                        'sim_fixed_n()' to 'sim_pw_surv()' format
wlr                     Weighted logrank test
