View source: R/opchar_ss_norm.R
opchar_ss_norm | R Documentation |
opchar_ss_norm()
determines the operating characteristics of a
specified single-stage multi-arm clinical trial design assuming the primary
outcome variable is normally distributed, for given values of the true
treatment effects, using multivariate normal integration.
opchar_ss_norm(des = des_ss_norm(), tau, summary = FALSE)
des |
A |
tau |
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_norm
, des_ss_norm
,
plot.multiarm_des_ss_norm
, sim_ss_norm
.
# The operating characteristics for the default parameters
opchar <- opchar_ss_norm()
# An A-optimal design
des_A <- des_ss_norm(ratio = "A")
opchar_A <- opchar_ss_norm(des_A)
# Using the root-K allocation rule, modifying the desired type of power and
# chosen multiple comparison correction, and specifying tau explicitly
des_root_K <- des_ss_norm(ratio = rep(1/sqrt(2), 2),
correction = "holm_bonferroni",
power = "disjunctive")
opchar_root_K <- opchar_ss_norm(des_root_K, rbind(c(0, 0),
c(0.5, 0.5),
c(0.5, 0),
c(0, 0.5)))
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