log_inv_logit

<p>Numerically stable summation of log inv logit</p>

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

log_inv_logit function

Numerically stable summation of log inv logit — log_inv_logit

Numerically stable summation of log inv logit

log_inv_logit: Numerically stable summation of log inv logit

Description

Usage

Arguments