Basic Trial Design — TrialDesign • rpact

Basic class for trial designs.

Details

TrialDesign is the basic class for

kMax: The maximum number of stages K. Is a single numeric value representing a whole number.
alpha: The significance level alpha, default is 0.025. Is a single numeric value between 0 and 1.
stages: The stage numbers of the trial. Is a numeric vector of length kMax containing whole numbers.
informationRates: The information rates (that must be fixed prior to the trial), default is (1:kMax) / kMax. Is a numeric vector of length kMax containing values between 0 and 1.
userAlphaSpending: The user defined alpha spending. Contains the cumulative alpha-spending (type I error rate) up to each interim stage. Is a numeric vector of length kMax containing values between 0 and 1.
criticalValues: The critical values for each stage of the trial. Is a numeric vector of length kMax.
stageLevels: The adjusted significance levels to reach significance in a group sequential design. Is a numeric vector of length kMax containing values between 0 and 1.
alphaSpent: The cumulative alpha spent at each stage. Is a numeric vector of length kMax containing values between 0 and 1.
bindingFutility: If TRUE, the calculation of the critical values is affected by the futility bounds and the futility threshold is binding in the sense that the study must be stopped if the futility condition was reached (default is FALSE) Is a single logical value.
tolerance: The numerical tolerance, default is 1e-06. Is a single numeric value.