Group Sequential Design with Non-Constant Effect

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Documentation for package ‘gsDesign2’ version 1.1.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

ahr	Average hazard ratio under non-proportional hazards (test version)
ahr_blinded	Blinded estimation of average hazard ratio
as_gt	Convert summary table of a fixed or group sequential design object to a gt object
as_gt.fixed_design	Convert summary table of a fixed or group sequential design object to a gt object
as_gt.gs_design	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
as_rtf.fixed_design	Write summary table of a fixed or group sequential design object to an RTF file
as_rtf.gs_design	Write summary table of a fixed or group sequential design object to an RTF file
define_enroll_rate	Define enrollment rate
define_fail_rate	Define failure rate
expected_accrual	Piecewise constant expected accrual
expected_event	Expected events observed under piecewise exponential model
expected_time	Predict time at which a targeted event count is achieved
fixed_design_ahr	Fixed design under non-proportional hazards
fixed_design_fh	Fixed design under non-proportional hazards
fixed_design_lf	Fixed design under non-proportional hazards
fixed_design_maxcombo	Fixed design under non-proportional hazards
fixed_design_mb	Fixed design under non-proportional hazards
fixed_design_milestone	Fixed design under non-proportional hazards
fixed_design_rd	Fixed design under non-proportional hazards
fixed_design_rmst	Fixed design under non-proportional hazards
gs_b	Default boundary generation
gs_create_arm	Create npsurvSS arm object
gs_design_ahr	Group sequential design using average hazard ratio under non-proportional hazards
gs_design_combo	Group sequential design using MaxCombo test under non-proportional hazards
gs_design_npe	Group sequential design computation with non-constant effect and information
gs_design_rd	Group sequential design of binary outcome measuring in risk difference
gs_design_wlr	Group sequential design using weighted log-rank test under non-proportional hazards
gs_info_ahr	Information and effect size based on AHR approximation
gs_info_combo	Information and effect size for MaxCombo test
gs_info_rd	Information and effect size under risk difference
gs_info_wlr	Information and effect size for weighted log-rank test
gs_power_ahr	Group sequential design power using average hazard ratio under non-proportional hazards
gs_power_combo	Group sequential design power using MaxCombo test under non-proportional hazards
gs_power_npe	Group sequential bound computation with non-constant effect
gs_power_rd	Group sequential design power of binary outcome measuring in risk difference
gs_power_wlr	Group sequential design power using weighted log rank test under non-proportional hazards
gs_spending_bound	Derive spending bound for group sequential boundary
gs_spending_combo	Derive spending bound for MaxCombo group sequential boundary
gs_update_ahr	Group sequential design using average hazard ratio under non-proportional hazards
ppwe	Piecewise exponential cumulative distribution function
pw_info	Average hazard ratio under non-proportional hazards (test version)
s2pwe	Approximate survival distribution with piecewise exponential distribution
summary.fixed_design	Summary for fixed design or group sequential design objects
summary.gs_design	Summary for fixed design or group sequential design objects
summary.gs_update	Summary for fixed design or group sequential design objects
to_integer	Rounds sample size to an even number for equal design
to_integer.fixed_design	Rounds sample size to an even number for equal design
to_integer.gs_design	Rounds sample size to an even number for equal design
wlr_weight	Weight functions for weighted log-rank test
wlr_weight_1	Weight functions for weighted log-rank test
wlr_weight_fh	Weight functions for weighted log-rank test
wlr_weight_mb	Weight functions for weighted log-rank test
wlr_weight_n	Weight functions for weighted log-rank test