Package index

fixed_design_ahr()
fixed_design_fh()
fixed_design_lf()
fixed_design_maxcombo()
fixed_design_mb()
fixed_design_milestone()
fixed_design_rd()
fixed_design_rmst()
 Fixed design under nonproportional hazards

ahr()
 Average hazard ratio under nonproportional hazards

expected_time()
 Predict time at which a targeted event count is achieved

expected_event()
 Expected events observed under piecewise exponential model

gs_info_ahr()
 Information and effect size based on AHR approximation

gs_power_ahr()
 Group sequential design power using average hazard ratio under nonproportional hazards

gs_design_ahr()
 Group sequential design using average hazard ratio under nonproportional hazards

gs_update_ahr()
 Group sequential design using average hazard ratio under nonproportional hazards

ahr_blinded()
 Blinded estimation of average hazard ratio

wlr_weight_fh()
wlr_weight_1()
wlr_weight_n()
wlr_weight_mb()
 Weight functions for weighted logrank test

gs_info_wlr()
 Information and effect size for weighted logrank test

gs_power_wlr()
 Group sequential design power using weighted log rank test under nonproportional hazards

gs_design_wlr()
 Group sequential design using weighted logrank test under nonproportional hazards

gs_info_combo()
 Information and effect size for MaxCombo test

gs_spending_combo()
 Derive spending bound for MaxCombo group sequential boundary

gs_power_combo()
 Group sequential design power using MaxCombo test under nonproportional hazards

gs_design_combo()
 Group sequential design using MaxCombo test under nonproportional hazards

gs_info_rd()
 Information and effect size under risk difference

gs_power_rd()
 Group sequential design power of binary outcome measuring in risk difference

gs_design_rd()
 Group sequential design of binary outcome measuring in risk difference

define_enroll_rate()
 Define enrollment rate

define_fail_rate()
 Define failure rate

summary(<fixed_design>)
summary(<gs_design>)
 Summary for fixed design or group sequential design objects

as_gt()
 Convert summary table of a fixed or group sequential design object to a gt object

as_rtf()
 Write summary table of a fixed or group sequential design object to an RTF file

to_integer()
 Rounds sample size to an even number for equal design
Boundary functions
Functions to specify the upper and lower bound in group sequential designs. They are not recommended to use alone. Instead, they should be used companied with gs_design_npe, gs_power_npe, ect..

gs_b()
 Default boundary generation

gs_spending_bound()
 Derive spending bound for group sequential boundary

expected_event()
 Expected events observed under piecewise exponential model

expected_time()
 Predict time at which a targeted event count is achieved

expected_accrual()
 Piecewise constant expected accrual

ppwe()
 Piecewise exponential cumulative distribution function

s2pwe()
 Approximate survival distribution with piecewise exponential distribution
Lowlevel helpers
Functions to calculate sample size or number of events under nonconstant treatment effect over time.

gs_power_npe()
 Group sequential bound computation with nonconstant effect

gs_design_npe()
 Group sequential design computation with nonconstant effect and information

gs_create_arm()
 Create npsurvSS arm object

pw_info()
 Average hazard ratio under nonproportional hazards