Representing the power
Represents the expected power of the individual randomization sequences.
setPower(d, method, alpha = 0.05)
d: effect size.method: character string, should be one of "sim" or "exact", see Description.alpha: significance level.S4 object of class power, a formal representation of the issue of power in a clinical trial.
The attained power of an individual randomization sequence can be an issue in the design of a clinical trial. The power of a randomization sequence is computed depending on the effect size d and the difference in group sizes.
If method="sim", the object represents the simulated power of an individual randomization sequence. When calling assess for a power object with method="sim", one test decision is computed for each randomization sequence of randSeq. The power is the proportion of falsely (correctly) rejected null hypotheses.
If method="exact", the object represents the exact power of an individual randomization sequence. When calling assess for a power object with method="exact", the exact p-value of each randomization sequence is computed. So far, this is only supported for normal endpoints. Then the power is the sum of the corresponding quantiles of the noncentral t-distribution.
Other issues: chronBias, combineBias(), corGuess, imbal, issue, selBias
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