SimulationsSummary-class

.SimulationsSummary

In addition to the slots in the parent class
<code>GeneralSimulationsSummary</code>, it contains two slots with
model fit information.

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

SimulationsSummary-class function

<dl>
<dt><code>fitAtDoseMostSelected</code></dt>
<dd>fitted toxicity rate at dose most often selected</dd></dl>
<dt><code>meanFit</code></dt>
<dd>list with the average, lower (2.5
quantiles of the mean fitted toxicity at each dose level</dd>

Slots

Class for the summary of model-based simulations output — SimulationsSummary-class

<dl>
<dt><code>fitAtDoseMostSelected</code></dt>
<dd>fitted toxicity rate at dose most often selected</dd>


<dt><code>meanFit</code></dt>
<dd>list with the average, lower (2.5
quantiles of the mean fitted toxicity at each dose level</dd>


</dl>

SimulationsSummary-class: Class for the summary of model-based simulations output

Description

Arguments

Slots

Details