v_pseudo_simulations

v_pseudo_dual_simulations

v_pseudo_dual_flex_simulations

<a href="https://lifecycle.r-lib.org/articles/stages.html#stable"><img src="figures/lifecycle-stable.svg?package=crmPack&version=2.0.0" alt="[Stable]"></a>
These functions are only used internally to validate the format of an input
<code>PseudoSimulations</code> or inherited classes and therefore not exported.

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 

v_pseudo_simulations function

<dl><dt>object</dt>
<dd>(<code>PseudoSimulations</code>) object to validate.</dd></dl>

Arguments

<ul>
<li><code>v_pseudo_simulations()</code>: validates that the <code>PseudoSimulations</code> object
contains valid <code>fit</code>, <code>FinalTDtargetEndOfTrialEstimates</code> ,
<code>FinalTDtargetDuringTrialAtDoseGrid</code>,<code>FinalTDtargetEndOfTrialAtDoseGrid</code> ,
<code>FinalTDEOTCIs</code>, <code>FinalTDEOTRatios</code>, <code>FinalCIs</code>, <code>FinalRatios</code>,
object and valid <code>stopReasons</code> simulations.</li>
<li><code>v_pseudo_dual_simulations()</code>: validates that the <code>PseudoDualSimulations</code> object
contains valid <code>fit_eff</code>, <code>final_gstar_estimates</code> , <code>final_gstar_at_dose_grid</code>,
<code>final_gstar_cis</code> , <code>final_gstar_ratios</code>, <code>final_optimal_dose</code>, <code>final_optimal_dose_at_dose_grid</code>
object and valid <code>sigma2_est</code> simulations.</li>
<li><code>v_pseudo_dual_flex_simulations()</code>: validates that the <code>PseudoDualFlexiSimulations</code>
object contains valid <code>sigma2_beta_w_est</code> vector of the final posterior mean
sigma2betaW estimates.<code>FinalGstarEstimates</code> , <code>FinalGstarAtDoseGrid</code>,</li>
</ul>

Functions

<a href='https://lifecycle.r-lib.org/articles/stages.html#stable'><img src='figures/lifecycle-stable.svg' alt='[Stable]' /></a>
These functions are only used internally to validate the format of an input
<code>PseudoSimulations</code> or inherited classes and therefore not exported.

Internal Helper Functions for Validation of PseudoSimulations Objects — v_pseudo_simulations

<dl>

<dt>object</dt>
<dd>(<code>PseudoSimulations</code>) object to validate.</dd>

</dl>

Internal Helper Functions for Validation of <code>PseudoSimulations</code> Objects

v_pseudo_simulations: Internal Helper Functions for Validation of `PseudoSimulations` Objects

Description

Usage

Value

Arguments

Functions