score: Score in the Lagrangian framework
In MatheMax/OptReSample: Computing Optimal Adaptive Designs
Description
Usage
Arguments
Details
Description
score defines the score in the Lagrangian framework.
Usage
1
score(parameters, cf, ce, n1, lambda1, lambda2)
Arguments
parameters
Parameters specifying the design
cf
Boundary for stopping for futility
ce
Boundary for stopping for efficacy
n1
First stage sample size
lambda1
Penalization parameter for type I error
lambda2
Penalization parameter for type II error
Details
The score is given as the expected sample size of the trial under the alternative hypothesis.
MatheMax/OptReSample documentation built on May 5, 2019, 8:14 a.m.
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Description Usage Arguments Details
Description
score defines the score in the Lagrangian framework.
Usage
1 | score(parameters, cf, ce, n1, lambda1, lambda2)
|
Arguments
parameters |
Parameters specifying the design |
cf |
Boundary for stopping for futility |
ce |
Boundary for stopping for efficacy |
n1 |
First stage sample size |
lambda1 |
Penalization parameter for type I error |
lambda2 |
Penalization parameter for type II error |
Details
The score is given as the expected sample size of the trial under the alternative hypothesis.
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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