.label_index

Utility function to label parameter indices according to factor
levels.

internal

Bayesian logistic regression model with optional
EXchangeability-NonEXchangeability parameter modelling for flexible
borrowing from historical or concurrent data-sources. The safety model
can guide dose-escalation decisions for adaptive oncology Phase I
dose-escalation trials which involve an arbitrary number of
drugs. Please refer to Neuenschwander et al. (2008)
<doi:10.1002/sim.3230> and Neuenschwander et al. (2016)
<doi:10.1080/19466315.2016.1174149> for details on the methodology.

Sebastian Weber

OncoBayes2

Bayesian Logistic Regression for Oncology Dose-Escalation Trials

Novartis Pharma AG

Lukas A. Widmer

Andrew Bean

Trustees of Columbia University

.label_index function

<dl><dt>stanfit</dt>
<dd>stan fit which names are being modified</dd>
<dt>par</dt>
<dd>parameter selected</dd>
<dt>...</dt>
<dd>must include as many factors as there are indices which
are used in the order given to translate indices to text labels</dd></dl>

Arguments

Utility function to label parameter indices according to factor
levels. — .label_index

<dl>

<dt>stanfit</dt>
<dd>stan fit which names are being modified</dd>


<dt>par</dt>
<dd>parameter selected</dd>


<dt>...</dt>
<dd>must include as many factors as there are indices which
are used in the order given to translate indices to text labels</dd>

</dl>

.label_index: Utility function to label parameter indices according to factor levels.

Description

Usage

Arguments