power.cal: Detailed power calculations for one-stage, two-stage,...
In gu-mi/simASD: Enhancement of the Adaptive Signature Design (ASD) for Learning and Confirming in a Single Pivotal Trial
Description
Usage
Arguments
Value
Author(s)
Description
This function provides an overview summary of the powers from different designs and stages, by taking
an object returned by the function f.learn.confirm for a particular learn/confirm allocation, biomarker
cutoff and a particular alpha-splitting.
Usage
1
power.cal(f.learn.confirm.obj)
Arguments
f.learn.confirm.obj
an object from the function output f.learn.confirm
Value
a print out on console for powers from different designs and stages
Author(s)
Gu Mi <neo.migu@gmail.com>
gu-mi/simASD documentation built on May 17, 2019, 8:57 a.m.
R Package Documentation
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Description Usage Arguments Value Author(s)
Description
This function provides an overview summary of the powers from different designs and stages, by taking
an object returned by the function f.learn.confirm for a particular learn/confirm allocation, biomarker
cutoff and a particular alpha-splitting.
Usage
1 | power.cal(f.learn.confirm.obj)
|
Arguments
f.learn.confirm.obj |
an object from the function output |
Value
a print out on console for powers from different designs and stages
Author(s)
Gu Mi <neo.migu@gmail.com>
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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