View source: R/opchar_ss_pois.R
| opchar_ss_pois | R Documentation | 
opchar_ss_pois() determines the operating characteristics of a
specified single-stage multi-arm clinical trial design assuming the primary
outcome variable is Poisson distributed, for given values of the true
treatment effects, using multivariate normal integration.
opchar_ss_pois(des = des_ss_pois(), lambda, summary = FALSE)
| des | A  | 
| lambda | A  | 
| summary | A  | 
A list containing the following elements
 A tibble in the slot $opchar giving the determined
operating characteristics.
Each of the input variables.
build_ss_pois, des_ss_pois,
plot.multiarm_des_ss_pois, sim_ss_pois.
# The operating characteristics for the default parameters
opchar        <- opchar_ss_pois()
# An A-optimal design
des_A         <- des_ss_pois(ratio = "A")
opchar_A      <- opchar_ss_pois(des_A)
# Using the root-K allocation rule, modifying the desired type of power and
# chosen multiple comparison correction, and specifying lambda explicitly
des_root_K    <- des_ss_pois(ratio      = rep(1/sqrt(2), 2),
                             correction = "holm_bonferroni",
                             power      = "disjunctive")
opchar_root_K <- opchar_ss_pois(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)))
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