h_pseudo_sim_fit_summary

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Calculates fit summary statistics for pseudo simulations.

internal

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_pseudo_sim_fit_summary function

<dl><dt>fit_list</dt>
<dd>(<code>list</code>) list of fit objects from simulations.</dd>
<dt>x_most_selected</dt>
<dd>(<code>integer</code>) index of dose most often selected.</dd>
<dt>dose_grid</dt>
<dd>(<code>numeric</code>) dose grid.</dd>
<dt>truth</dt>
<dd>(<code>function</code>) truth function.</dd></dl>

Arguments

<a href='https://lifecycle.r-lib.org/articles/stages.html#stable'><img src='figures/lifecycle-stable.svg' alt='[Stable]' /></a>
Calculates fit summary statistics for pseudo simulations.

Helper Function to Calculate Fit Summary — h_pseudo_sim_fit_summary

<dl>

<dt>fit_list</dt>
<dd>(<code>list</code>) list of fit objects from simulations.</dd>


<dt>x_most_selected</dt>
<dd>(<code>integer</code>) index of dose most often selected.</dd>


<dt>dose_grid</dt>
<dd>(<code>numeric</code>) dose grid.</dd>


<dt>truth</dt>
<dd>(<code>function</code>) truth function.</dd>

</dl>

Helper Function to Calculate Fit Summary

h_pseudo_sim_fit_summary: Helper Function to Calculate Fit Summary

Description

Usage

Value

Arguments