LogisticIndepBeta

the number of subjects observed with a DLE, the pseudo DLE responses

binDLE

the corresponding dose levels for the pseudo DLE responses, pseudo dose levels

DLEdose

the total number of subjects treated at each of the dose levels, pseudo weights

DLEweights

the input data to update estimates of model parameters and 
follow the <code><a href="/link/?package=crmPack&version=1.0.0" data'="" data-mini-rdoc="crmPack::"></a>'>Data</code> object class specification

data

Intialization function for "LogisticIndepBeta" class

methods

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

LogisticIndepBeta function

the input data to update estimates of model parameters and 
follow the <code><a href='<a href='Data'></a>'>Data</a></code> object class specification

LogisticIndepBeta: Intialization function for "LogisticIndepBeta" class

Description

Usage

Arguments

Value