Calculates and returns the conditional power.
getConditionalPower(design, stageResults, ..., nPlanned)The trial design.
The results at given stage, obtained from getStageResults.
The sample size planned for the subsequent stages. It should be a vector with length equal to the remaining stages and is the overall sample size in the two treatment groups if two groups are considered.
The stage number (optional). Default: total number of existing stages in the data input.
The allocation ratio for two treatment groups planned for the subsequent stages, the default value is 1.
or pi1, pi2 Assumed effect sizes or assumed rates pi1 to calculate the
conditional power. Depending on the type of dataset, either thetaH1 (means and survival)
or pi1, pi2 (rates) needs to be specified.
Additionally, if testing means is specified, an assumed standard (assumedStDev)
deviation can be specified, default is 1.
Iterations for simulating the power for Fisher's combination test.
If the power for more than one remaining stages is to be determined for Fisher's combination test,
it is estimated via simulation with specified iterations, the default value is 10000.
Seed for simulating the power for Fisher's combination test. See above, default is a random seed.
The conditional power is calculated only if effect size and sample size is specified.
For Fisher's combination test, the conditional power for more than one remaining stages is estimated via simulation.
plot.StageResults or plot.AnalysisResults for plotting the conditional power.