plot.gtable

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

plot.gtable function

<dl><dt>x</dt>
<dd>the gtable object</dd>
<dt>...</dt>
<dd>additional parameters for <code><a href="/link/grid.draw?package=crmPack&version=1.0.6" data-mini-rdoc="crmPack::grid.draw">grid.draw</a></code></dd></dl>

Arguments

Plots gtable objects — plot.gtable

<dl>

<dt>x</dt>
<dd>the gtable object</dd>


<dt>...</dt>
<dd>additional parameters for <code><a href='https://rdrr.io/r/grid/grid.draw.html'>grid.draw</a></code></dd>

</dl>

plot.gtable: Plots gtable objects

Description

Usage

Arguments