subset-Data

[,Data,numeric,missing,missing-method

[,Data,logical,missing,missing-method

<a href="https://lifecycle.r-lib.org/articles/stages.html#stable"><img src="figures/lifecycle-stable.svg?package=crmPack&version=2.1.0" alt="[Stable]"></a>
Subset observations (patients) from a <code>Data</code> object
using numeric or logical indexing.

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 

subset-Data function

<dl><dt>x</dt>
<dd>(<code>Data</code>) what to subset.</dd>
<dt>i</dt>
<dd>(<code>integer</code> or <code>logical</code>) indices or logical vector
for subsetting observations.</dd></dl>

Arguments

<a href='https://lifecycle.r-lib.org/articles/stages.html#stable'><img src='figures/lifecycle-stable.svg' alt='[Stable]' /></a>
Subset observations (patients) from a <code>Data</code> object
using numeric or logical indexing.

Subsetting Operator for the Data Class — subset-Data

<dl>

<dt>x</dt>
<dd>(<code>Data</code>) what to subset.</dd>


<dt>i</dt>
<dd>(<code>integer</code> or <code>logical</code>) indices or logical vector
for subsetting observations.</dd>

</dl>

Subsetting Operator for the Data Class

subset-Data: Subsetting Operator for the Data Class

Description

Usage

Value

Arguments