summary,ComboSimulations-method

summary-ComboSimulations

<a href="https://lifecycle.r-lib.org/articles/stages.html#experimental"><img src="figures/lifecycle-experimental.svg?package=crmPack&version=2.2.1" alt="[Experimental]"></a>
Summarize two-drug combination simulations.

Implements a wide range of dose escalation
designs. The focus is on model-based 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. Bayesian inference is performed via MCMC sampling in JAGS, and it is easy
to setup a new design with custom 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.
Further details are presented in
Sabanés Bové et al. (2019) <doi:10.18637/jss.v089.i10>.

Daniel Sabanes Bove

crmPack

Object-Oriented Implementation of Dose Escalation Designs

Daniel Sabanés Bové

Wai Yin Yeung

Burak Kuersad Guenhan

Giuseppe Palermo

Thomas Jaki

Jiawen Zhu

Ziwei Liao

Dimitris Kontos

Marlene Schulte-Goebel

Doug Kelkhoff

Oliver Boix

Robert Adams

Clara Beck

John Kirkpatrick

Wojciech Wójciak

Guanya Peng

Prerana Chandratre

F. Hoffmann-La Roche AG 

Merck Healthcare KGaA 

Bayer AG 

RPACT GmbH 

summary,ComboSimulations-method function

<dl><dt>object</dt>
<dd>(<code>ComboSimulations</code>)
the object we want to summarize.</dd>
<dt>truth</dt>
<dd>(<code>function</code>)
optional function mapping a dose combination to a toxicity probability.
It can accept one argument (length-2 numeric vector or one-row matrix) or
two numeric arguments (<code>drug1</code>, <code>drug2</code>).</dd>
<dt>target</dt>
<dd>(<code>numeric</code>)
optional target toxicity interval used only when <code>truth</code> is supplied.</dd>
<dt>...</dt>
<dd>additional arguments can be supplied here for <code>truth</code>.</dd></dl>

Arguments

<a href='https://lifecycle.r-lib.org/articles/stages.html#experimental'><img src='figures/lifecycle-experimental.svg' alt='[Experimental]' /></a>
Summarize two-drug combination simulations.

Summarize ComboSimulations — summary,ComboSimulations-method

<dl>

<dt>object</dt>
<dd>(<code>ComboSimulations</code>)
the object we want to summarize.</dd>


<dt>truth</dt>
<dd>(<code>function</code>)
optional function mapping a dose combination to a toxicity probability.
It can accept one argument (length-2 numeric vector or one-row matrix) or
two numeric arguments (<code>drug1</code>, <code>drug2</code>).</dd>


<dt>target</dt>
<dd>(<code>numeric</code>)
optional target toxicity interval used only when <code>truth</code> is supplied.</dd>


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

</dl>

Summarize <code>ComboSimulations</code>

summary,ComboSimulations-method: Summarize `ComboSimulations`

Description

Usage

Value

Arguments