h_obtain_dose_grid_range

Used by <code>dose_grid_range-Data</code> and <code>dose_grid_range-DataOrdinal</code>

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 

h_obtain_dose_grid_range function

<dl><dt>object</dt>
<dd>(<code>Data</code> or <code>DataOrdinal</code>) the object for which the dose grid
range is required</dd>
<dt>ignore_placebo</dt>
<dd>(<code>flag</code>) should placebo dose (if any) not be counted?</dd></dl>

Arguments

Helper Function Containing Common Functionality — h_obtain_dose_grid_range

<dl>

<dt>object</dt>
<dd>(<code>Data</code> or <code>DataOrdinal</code>) the object for which the dose grid
range is required</dd>


<dt>ignore_placebo</dt>
<dd>(<code>flag</code>) should placebo dose (if any) not be counted?</dd>

</dl>

Helper Function Containing Common Functionality

h_obtain_dose_grid_range: Helper Function Containing Common Functionality

Description

Usage

Arguments