LogisticNormalFixedMixture

Initialization function for the "LogisticNormalFixedMixture" 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.

Daniel Sabanes Bove

crmPack

Object-Oriented Implementation of CRM Designs

Wai Yin Yeung

Giuseppe Palermo

Thomas Jaki

LogisticNormalFixedMixture function

<dl><dt>components</dt>
<dd>the specifications of the mixture components: a list with
one list of <code>mean</code> and <code>cov</code> for each bivariate (log) normal prior</dd>
<dt>weights</dt>
<dd>the weights of the components, these must be positive and
will be normalized to sum to 1</dd>
<dt>refDose</dt>
<dd>the reference dose</dd>
<dt>logNormal</dt>
<dd>should a log normal prior be specified, such that the mean
vectors and covariance matrices are valid for the intercept and log slope?
(not default)</dd></dl>

Arguments

Initialization function for the "LogisticNormalFixedMixture" class — LogisticNormalFixedMixture

<dl>

<dt>components</dt>
<dd>the specifications of the mixture components: a list with
one list of <code>mean</code> and <code>cov</code> for each bivariate (log) normal prior</dd>


<dt>weights</dt>
<dd>the weights of the components, these must be positive and
will be normalized to sum to 1</dd>


<dt>refDose</dt>
<dd>the reference dose</dd>


<dt>logNormal</dt>
<dd>should a log normal prior be specified, such that the mean
vectors and covariance matrices are valid for the intercept and log slope?
(not default)</dd>

</dl>

LogisticNormalFixedMixture: Initialization function for the "LogisticNormalFixedMixture" class

Description

Usage

Value

Arguments