GeneralSimulations-class

.GeneralSimulations

This class captures trial simulations.

classes

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

GeneralSimulations-class function

<dl>
<dt><code>data</code></dt>
<dd>list of produced <code>Data</code> objects</dd></dl>
<dt><code>doses</code></dt>
<dd>the vector of final dose recommendations</dd>
<dt><code>seed</code></dt>
<dd>random generator state before starting the simulation</dd>

Slots

General class for the simulations output — GeneralSimulations-class

<dl>
<dt><code>data</code></dt>
<dd>list of produced <code>Data</code> objects</dd>


<dt><code>doses</code></dt>
<dd>the vector of final dose recommendations</dd>


<dt><code>seed</code></dt>
<dd>random generator state before starting the simulation</dd>


</dl>

GeneralSimulations-class: General class for the simulations output

Description

Arguments

Slots

Details