GeneralData-class

.GeneralData

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

GeneralData-class function

<dl>
<dt><code>ID</code></dt>
<dd>unique patient IDs (integer vector)</dd></dl>
<dt><code>cohort</code></dt>
<dd>the cohort indices (sorted values from 0, 1, 2, ...)</dd>
<dt><code>nObs</code></dt>
<dd>number of observations</dd>

Slots

Class for general data input — GeneralData-class

<dl>
<dt><code>ID</code></dt>
<dd>unique patient IDs (integer vector)</dd>


<dt><code>cohort</code></dt>
<dd>the cohort indices (sorted values from 0, 1, 2, ...)</dd>


<dt><code>nObs</code></dt>
<dd>number of observations</dd>


</dl>

Class for general data input

GeneralData-class: Class for general data input

Description

Arguments

Slots