myBayesLogit

options

<p>Do MCMC sampling for Bayesian logistic regression model</p>

internal

Implements a wide range of model-based dose
escalation 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. The
focus is on Bayesian inference, making it very easy to setup a new design
with its own 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.

Giuseppe Palermo

crmPack

Object-Oriented Implementation of CRM Designs

Daniel Sabanes Bove

Wai Yin Yeung

Thomas Jaki

myBayesLogit function

Do MCMC sampling for Bayesian logistic regression model — myBayesLogit

Do MCMC sampling for Bayesian logistic regression model

myBayesLogit: Do MCMC sampling for Bayesian logistic regression model

Description

Usage

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