View source: R/plot.multiarm_des_ss_pois.R
plot.multiarm_des_ss_pois | R Documentation |
plot.multiarm_des_ss_pois()
produces power curve plots for a specified
single-stage multi-arm clinical trial design assuming the primary outcome is
Poisson distributed.
## S3 method for class 'multiarm_des_ss_pois'
plot(
x = des_ss_pois(),
delta_min = -x$delta1,
delta_max = 2 * x$delta1,
delta = x$delta1 - x$delta0,
density = 100,
output = FALSE,
print_plots = TRUE,
summary = FALSE,
...
)
x |
A |
delta_min |
A |
delta_max |
A |
delta |
A |
density |
A |
output |
A |
print_plots |
A |
summary |
A |
... |
Not currently used. |
If output = T
, a list containing the following elements
A list
in the slot $plots
containing the produced
plots.
Each of the input variables.
build_ss_pois
, des_ss_pois
,
gui
, opchar_ss_pois
, sim_ss_pois
.
## Not run:
# The design for the default parameters
des <- des_ss_pois()
plot(des)
# An A-optimal design, returning the avaiable outputs from
# plot.multiarm_des_ss_pois()
des_A <- des_ss_pois(ratio = "A")
plots <- plot(des_A, output = T)
# Using the root-K allocation rule, modifying the desired type of power, and
# choosing an alternative multiple comparison correction
des_root_K <- des_ss_pois(ratio = rep(1/sqrt(2), 2),
correction = "holm_bonferroni",
power = "disjunctive")
plot(des_root_K)
## End(Not run)
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