h_summarize_add_stats

Helper function to calculate average across iterations for each additional
reporting parameter
extracts parameter names as specified by user and averaged the values
for each specified parameter to <code>show()</code> and output with cat to console

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_summarize_add_stats function

<dl><dt>stats_list</dt>
<dd>object from simulation with nested parameter values
(sublist for each parameter)</dd></dl>

Arguments

Helper function to calculate average across iterations for each additional
reporting parameter
extracts parameter names as specified by user and averaged the values
for each specified parameter to show() and output with cat to console — h_summarize_add_stats

<dl>

<dt>stats_list</dt>
<dd>object from simulation with nested parameter values
(sublist for each parameter)</dd>

</dl>

Helper function to calculate average across iterations for each additional
reporting parameter
extracts parameter names as specified by user and averaged the values
for each specified parameter to <code>show()</code> and output with cat to console

h_summarize_add_stats: Helper function to calculate average across iterations for each additional reporting parameter extracts parameter names as specified by user and averaged the values for each specified parameter to `show()` and output with cat to console

Description

Usage

Value

Arguments