generateData

Provides access to a range of functions for analyzing, applying and visualizing Bayesian response-adaptive trial designs for a binary endpoint. Includes the predictive probability approach and the predictive evidence value designs for binary endpoints.

Riko Kelter

brada

Bayesian Response-Adaptive Design Analysis

generateData function

<dl> <dt>p</dt>
<dd>true response probability</dd> <dt>Nmax</dt>
<dd>Maximum trial size.</dd> <dt>nsim</dt>
<dd>Number of Monte Carlo iterations.</dd> <dt>seed</dt>
<dd>Random number generator seed.</dd></dl>

Arguments

Author

generateData — generateData

<dl>

 <dt>p</dt>
<dd>true response probability</dd>

 <dt>Nmax</dt>
<dd>Maximum trial size.</dd>

 <dt>nsim</dt>
<dd>Number of Monte Carlo iterations.</dd>

 <dt>seed</dt>
<dd>Random number generator seed.</dd>

</dl>

generateData: generateData

Description

Usage

Value

Arguments

Author

Examples