summary,GeneralSimulations-method

Summarize the simulations, relative to a given truth

methods

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

summary,GeneralSimulations-method function

<dl><dt>object</dt>
<dd>the <code>GeneralSimulations</code> object we want to
summarize</dd>
<dt>truth</dt>
<dd>a function which takes as input a dose (vector) and returns the
true probability (vector) for toxicity</dd>
<dt>target</dt>
<dd>the target toxicity interval (default: 20-35%) used for the
computations</dd>
<dt>...</dt>
<dd>Additional arguments can be supplied here for <code>truth</code></dd></dl>

Arguments

Summarize the simulations, relative to a given truth — summary,GeneralSimulations-method

<dl>

<dt>object</dt>
<dd>the <code>GeneralSimulations</code> object we want to
summarize</dd>


<dt>truth</dt>
<dd>a function which takes as input a dose (vector) and returns the
true probability (vector) for toxicity</dd>


<dt>target</dt>
<dd>the target toxicity interval (default: 20-35%) used for the
computations</dd>


<dt>...</dt>
<dd>Additional arguments can be supplied here for <code>truth</code></dd>

</dl>

summary,GeneralSimulations-method: Summarize the simulations, relative to a given truth

Description

Usage

Value

Arguments