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>The virtual class for cohort sizes
</p>

<p><code><a href="CohortSizeMax-class.html">CohortSizeMax</a></code>,
<code><a href="CohortSizeMin-class.html">CohortSizeMin</a></code>,
<code><a href="CohortSizeRange-class.html">CohortSizeRange</a></code>,
<code><a href="CohortSizeDLT-class.html">CohortSizeDLT</a></code>,
<code><a href="CohortSizeConst-class.html">CohortSizeConst</a></code>,
<code><a href="CohortSizeParts-class.html">CohortSizeParts</a></code>
</p>

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

CohortSize-class

Description

See Also

crmPack

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