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.

Object-Oriented Implementation of CRM Designs

package-ubuntu-20.04-r-4.0.5#cran#crmPack-1.0.0

<p>This class is used when the cohort size should be kept constant.
</p>

<dl>
<dt><code>size</code></dt>
<dd>
<p>the constant integer size</p>
</dd>
</dl>

# This is to have along the study a constant cohort size of 3
mySize <- CohortSizeConst(size=3)

package-ubuntu-20.04-r-4.0.5#cran#crmPack-1.0.0#docs#CohortSizeConst-class

CohortSizeConst-class

Description

Slots

Examples

crmPack

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