h_convert_ordinal_model

<a href="https://lifecycle.r-lib.org/articles/stages.html#experimental"><img src="figures/lifecycle-experimental.svg?package=crmPack&version=2.0.0" alt="[Experimental]"></a>
A simple helper function that takes a <code>LogisticLogNormalOrdinal</code> and an
integer grade and converts them to the equivalent <code>LogisticLogNormal</code> model.

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_convert_ordinal_model function

<dl><dt>x</dt>
<dd>(<code>LogisticLogNormalOrdinal</code>) the <code>LogisticLogNormalOrdinal</code>
model to covert</dd>
<dt>grade</dt>
<dd>(<code>integer</code>) the toxicity grade for which the equivalent model
is required.</dd></dl>

Arguments

<a href='https://lifecycle.r-lib.org/articles/stages.html#experimental'><img src='figures/lifecycle-experimental.svg' alt='[Experimental]' /></a>
A simple helper function that takes a <code>LogisticLogNormalOrdinal</code> and an
integer grade and converts them to the equivalent <code>LogisticLogNormal</code> model.

Convert an ordinal CRM model to the Equivalent Binary CRM Model for a Specific
Grade — h_convert_ordinal_model

<dl>

<dt>x</dt>
<dd>(<code>LogisticLogNormalOrdinal</code>) the <code>LogisticLogNormalOrdinal</code>
model to covert</dd>


<dt>grade</dt>
<dd>(<code>integer</code>) the toxicity grade for which the equivalent model
is required.</dd>

</dl>

Convert an ordinal CRM model to the Equivalent Binary CRM Model for a Specific
Grade

h_convert_ordinal_model: Convert an ordinal CRM model to the Equivalent Binary CRM Model for a Specific Grade

Description

Usage

Value

Arguments