W_W: Calculation of W
In OptOTrials: Optimal Two-Stage Designs for Ordered Categorical Outcomes
W_W R Documentation
Calculation of W
Description
This is the function to compute W, which is required for the Win Odds test.
Usage
W_W(p1, p2, lambda = 1)
Arguments
p1
A vector containing the probabilities of the outcome falling into each level of the control arm.
p2
A vector containging the probabilities of the outcome falling into each level of the control arm.
lambda
The ratio of sample sizes between the experimental and control groups, defined as sample size (experimental): sample size (control) = lambda:1. The default value is 1.
Value
The value of W.
OptOTrials documentation built on Sept. 9, 2025, 5:46 p.m.
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| W_W | R Documentation |
Calculation of W
Description
This is the function to compute W, which is required for the Win Odds test.
Usage
W_W(p1, p2, lambda = 1)
Arguments
p1 |
A vector containing the probabilities of the outcome falling into each level of the control arm. |
p2 |
A vector containging the probabilities of the outcome falling into each level of the control arm. |
lambda |
The ratio of sample sizes between the experimental and control groups, defined as sample size (experimental): sample size (control) = lambda:1. The default value is 1. |
Value
The value of W.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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