EffFlexi

Initialization function for the "EffFlexi" 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

EffFlexi function

<dl><dt>Eff</dt>
<dd>the pseudo efficacy responses</dd>
<dt>Effdose</dt>
<dd>the corresponding dose levels for the pseudo efficacy responses</dd>
<dt>sigma2</dt>
<dd>the prior variance of the efficacy responses which can be specified 
with a single positive scalar or with two positive scalar values fot the shape <code>a</code> and 
the rate <code>b</code> parameters of the inverse gamma distribtuion.</dd>
<dt>sigma2betaW</dt>
<dd>the prior variance of the random walk model used for smoothing which can be
specified with a single postive scalar or with two positive scalars representing the shape <code>a</code>
and the rate <code>b</code> parameter of the inverse gamma distribution.</dd>
<dt>smooth</dt>
<dd>used for smoothing data for this efficacy model. That is either the "RW1", the 
first-order random walk model or "RW2", the second-order random walk model is used of the mean
efficacy responses.</dd>
<dt>data</dt>
<dd>the input data to update estimates of model parameters and 
follow the <code>DataDual</code> object class specification</dd></dl>

Arguments

Initialization function for the "EffFlexi" class — EffFlexi

<dl>

<dt>Eff</dt>
<dd>the pseudo efficacy responses</dd>


<dt>Effdose</dt>
<dd>the corresponding dose levels for the pseudo efficacy responses</dd>


<dt>sigma2</dt>
<dd>the prior variance of the efficacy responses which can be specified 
with a single positive scalar or with two positive scalar values fot the shape <code>a</code> and 
the rate <code>b</code> parameters of the inverse gamma distribtuion.</dd>


<dt>sigma2betaW</dt>
<dd>the prior variance of the random walk model used for smoothing which can be
specified with a single postive scalar or with two positive scalars representing the shape <code>a</code>
and the rate <code>b</code> parameter of the inverse gamma distribution.</dd>


<dt>smooth</dt>
<dd>used for smoothing data for this efficacy model. That is either the "RW1", the 
first-order random walk model or "RW2", the second-order random walk model is used of the mean
efficacy responses.</dd>


<dt>data</dt>
<dd>the input data to update estimates of model parameters and 
follow the <code>DataDual</code> object class specification</dd>

</dl>

EffFlexi: Initialization function for the "EffFlexi" class

Description

Usage

Value

Arguments