Description Usage Arguments Details Examples
The optimization method minimize
requires an initial
design for optimization.
The function get_initial_design
provides an initial guess based on a
fixed design that fulfills constraints on type I error rate and power.
Note that a situation-specific initial design may be much more efficient.
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theta |
the alternative effect size in the normal case, the rate difference under the alternative in the binomial case |
alpha |
maximal type I error rate |
beta |
maximale type II error rate |
type |
is a two-stage, group-sequential, or one-stage design requried? |
dist |
distribution of the test statistic |
order |
desired integration order |
... |
further optional arguments |
The distribution of the test statistic is specified by dist
.
The default assumes a two-armed z-test.
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