IncrementsRelativeParts-class

.IncrementsRelativeParts

IncrementsRelativeParts

.DefaultIncrementsRelativeParts

<a href="https://lifecycle.r-lib.org/articles/stages.html#stable"><img src="figures/lifecycle-stable.svg?package=crmPack&version=2.0.0" alt="[Stable]"></a>
<code>IncrementsRelativeParts</code> is the class for increments control based on
relative differences in intervals, with special rules for part 1 and
beginning of part 2.

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
Sabanes Bove et al. (2019) <doi:10.18637/jss.v089.i10>.

Daniel Sabanes Bove

crmPack

Object-Oriented Implementation of Dose Escalation Designs

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 

IncrementsRelativeParts-class function

<dl><dt>dlt_start</dt>
<dd>(<code>count</code>) see slot definition.</dd>
<dt>clean_start</dt>
<dd>(<code>count</code>) see slot definition.</dd>
<dt>...</dt>
<dd>Arguments passed on to <code>IncrementsRelative</code><dl>
 <dt><code>intervals</code></dt>
<dd>(<code>numeric</code>) see slot definition.</dd></dl></dd> <dt><code>increments</code></dt>
<dd>(<code>numeric</code>) see slot definition.</dd> 
</dl>

Arguments

<dl>
<dt><code>dlt_start</code></dt>
<dd>(<code>integer</code>) a scalar, the dose level increment for starting
part 2 in case of at least one DLT event in part 1.</dd></dl>
<dt><code>clean_start</code></dt>
<dd>(<code>integer</code>) a scalar, the dose level increment for
starting part 2 in case of no DLTs in part 1. If <code>clean_start &lt;= 0</code>,
then the part 1 ladder will be used to find the maximum next dose.
Otherwise, the relative increment rules will be applied to find the next
maximum dose level.</dd>

Slots

<a href='https://lifecycle.r-lib.org/articles/stages.html#stable'><img src='figures/lifecycle-stable.svg' alt='[Stable]' /></a>
<code>IncrementsRelativeParts</code> is the class for increments control based on
relative differences in intervals, with special rules for part 1 and
beginning of part 2.

IncrementsRelativeParts — IncrementsRelativeParts-class

<dl>

<dt>dlt_start</dt>
<dd>(<code>count</code>) see slot definition.</dd>


<dt>clean_start</dt>
<dd>(<code>count</code>) see slot definition.</dd>


<dt>...</dt>
<dd>Arguments passed on to <code>IncrementsRelative</code><dl>
 <dt><code>intervals</code></dt>
<dd>(<code>numeric</code>) see slot definition.</dd>

 <dt><code>increments</code></dt>
<dd>(<code>numeric</code>) see slot definition.</dd>

 
</dl></dd>

</dl>

<dl>
<dt><code>dlt_start</code></dt>
<dd>(<code>integer</code>) a scalar, the dose level increment for starting
part 2 in case of at least one DLT event in part 1.</dd>


<dt><code>clean_start</code></dt>
<dd>(<code>integer</code>) a scalar, the dose level increment for
starting part 2 in case of no DLTs in part 1. If <code>clean_start &lt;= 0</code>,
then the part 1 ladder will be used to find the maximum next dose.
Otherwise, the relative increment rules will be applied to find the next
maximum dose level.</dd>


</dl>

<code>IncrementsRelativeParts</code>

IncrementsRelativeParts-class: `IncrementsRelativeParts`

Description

Usage

Arguments

Slots

Details

Examples