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

<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>

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

GeneralData-class

Description

Slots

crmPack

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