Utility-Based Optimization for Basket Trial Designs

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Documentation for package ‘baskoptr’ version 1.0.4

• DESCRIPTION file.

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append_details	Internal helper function: Append and set elements of a details list
epsilon_extreme	Extreme borrowing cutoffs for borrowing in Fujikawa's design
get_details_for_two_scenarios	Internal helper function: Get details for two response scenarios
get_p1s	Generate an array of possible outcome scenarios
get_scenarios	Generate a scenario of possible outcomes
get_trace_info	Internal helper function: Decide whether to record a trace and what path to use
io_val_p1	Internal helper function: Input validation for p1
opt_design_gen	Optimize a Basket Trial Design
params_main	List of parameters used across the package
params_utility_caller	List of parameters used for functions calling utility functions
set_details	Internal helper function: Append and set elements of a details list
tau_extreme	Extreme borrowing cutoffs for borrowing in Fujikawa's design
u_2ewp	Utility functions: Two-level power-error combination functions
u_2pow	Utility functions: Two-level power-error combination functions
u_avg	Utility function: Scenario-averaged utility function
u_bnd	Utility function with boundaries on the parameters
u_ecd	Utility functions: Discontinuous power/ECD functions with type-I error penalty
u_ewp	Utility functions: Discontinuous power/ECD functions with type-I error penalty