plot.multiarm_des_dtl_bern()
produces power curve plots for a
specified multi-stage drop-the-losers multi-arm clinical trial design
assuming the primary outcome is Bernoulli distributed.
# S3 method for multiarm_des_dtl_bern
plot(
x = des_dtl_bern(),
delta_min = -x$pi0 + 1e-06,
delta_max = 1 - x$pi0 - 1e-06,
delta = x$delta1 - x$delta0,
density = 100,
output = FALSE,
print_plots = TRUE,
summary = FALSE,
...
)
Arguments
x |
A list of class "multiarm_des_dtl_bern" , as
returned by build_dtl_bern or des_dtl_bern (i.e.,
a multi-stage drop-the-losers multi-arm clinical trial design for a Bernoulli
distributed outcome). Defaults to des_dtl_bern() . |
delta_min |
A numeric specifying the chosen minimum value
for the treatment effects to include on the produced plots. Defaults to
-x$pi0 + 1e-6 . |
delta_max |
A numeric specifying the chosen maximum
value for the treatment effects to include on the produced plots. Defaults to
1 - x$pi0 - 1e-6 . |
delta |
A numeric specifying the chosen treatment effect
shift to use in the 'shifted treatment effects plot'. Defaults to
x$delta1 - x$delta0 . |
density |
A numeric variable indicating the number of
treatment effect scenarios to consider for each power curve. Increasing
density increases the smoothness of the produced plots, at the cost of
increased run time. Defaults to 100 . |
output |
A logical variable indicating whether the
available outputs from the function (see below) should be returned. Defaults
to FALSE . |
print_plots |
A logical variable indicating whether to
print produced plots. Defaults to TRUE . |
summary |
A logical variable indicating whether a summary
of the function's progress should be printed to the console. Defaults to
FALSE . |
... |
Not currently used. |
Value
If output = T
, a list containing the following elements
See also
Examples