NextBestDualEndpoint

Initialization function for "NextBestDualEndpoint"

methods

Implements a wide range of model-based dose
escalation designs, ranging from classical and modern continual
reassessment methods (CRMs) based on dose-limiting toxicity endpoints to
dual-endpoint designs taking into account a biomarker/efficacy outcome. The
focus is on Bayesian inference, making it very easy to setup a new design
with its own JAGS code. However, it is also possible to implement 3+3
designs for comparison or models with non-Bayesian estimation. The whole
package is written in a modular form in the S4 class system, making it very
flexible for adaptation to new models, escalation or stopping rules.

Daniel Sabanes Bove

crmPack

Object-Oriented Implementation of CRM Designs

Wai Yin Yeung

Giuseppe Palermo

Thomas Jaki

NextBestDualEndpoint function

<dl><dt>target</dt>
<dd>see <code>NextBestDualEndpoint</code></dd>
<dt>scale</dt>
<dd>see <code>NextBestDualEndpoint</code></dd>
<dt>overdose</dt>
<dd>see <code>NextBestDualEndpoint</code></dd>
<dt>maxOverdoseProb</dt>
<dd>see <code>NextBestDualEndpoint</code></dd>
<dt>targetThresh</dt>
<dd>see <code>NextBestDualEndpoint</code></dd></dl>

Arguments

Initialization function for "NextBestDualEndpoint" — NextBestDualEndpoint

<dl>

<dt>target</dt>
<dd>see <code>NextBestDualEndpoint</code></dd>


<dt>scale</dt>
<dd>see <code>NextBestDualEndpoint</code></dd>


<dt>overdose</dt>
<dd>see <code>NextBestDualEndpoint</code></dd>


<dt>maxOverdoseProb</dt>
<dd>see <code>NextBestDualEndpoint</code></dd>


<dt>targetThresh</dt>
<dd>see <code>NextBestDualEndpoint</code></dd>

</dl>

NextBestDualEndpoint: Initialization function for "NextBestDualEndpoint"

Description

Usage

Value

Arguments