opchar_ss_bern() determines the operating characteristics of a specified single-stage multi-arm clinical trial design assuming the primary outcome variable is Bernoulli distributed, for given values of the true treatment effects, using multivariate normal integration.

opchar_ss_bern(des = des_ss_bern(), pi, summary = FALSE)

Arguments

des

A list of class "multiarm_des_ss_bern", as returned by des_ss_bern (i.e., a single-stage multi-arm clinical trial design for a Poisson distributed outcome). Defaults to des_ss_bern().

pi

A matrix whose rows indicate values of π at which to evaluate the operating characteristics. Defaults internally to the global null, global alternative, and each of the least favourable configurations, for the specified design des.

summary

A logical variable indicating whether a summary of the function's progress should be printed to the console. Defaults to FALSE.

Value

A list containing the following elements

  • A tibble in the slot $opchar giving the determined operating characteristics.

  • Each of the input variables.

See also

Examples

# The operating characteristics for the default parameters opchar <- opchar_ss_bern() # An A-optimal design des_A <- des_ss_bern(ratio = "A") opchar_A <- opchar_ss_bern(des_A) # Using the root-K allocation rule, modifying the desired type of power and # chosen multiple comparison correction, and specifying pi explicitly des_root_K <- des_ss_bern(ratio = rep(1/sqrt(2), 2), correction = "holm_bonferroni", power = "disjunctive") opchar_root_K <- opchar_ss_bern(des_root_K, rbind(c(0.3, 0.3, 0.3), c(0.3, 0.5, 0.5), c(0.3, 0.5, 0.3), c(0.3, 0.3, 0.5)))