getMinInfBeta

As defined in Neuenschwander et al (2008), this function computes the
parameters of the minimal informative unimodal beta distribution, given the
request that the p-quantile should be q, i.e. X ~ Be(a, b) with Pr(X &lt;= q) =
p.

programming

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

getMinInfBeta function

<dl><dt>p</dt>
<dd>the probability (&gt; 0 and &lt; 1)</dd>
<dt>q</dt>
<dd>the quantile (&gt; 0 and &lt; 1)</dd></dl>

Arguments

Get the minimal informative unimodal beta distribution — getMinInfBeta

<dl>

<dt>p</dt>
<dd>the probability (&gt; 0 and &lt; 1)</dd>


<dt>q</dt>
<dd>the quantile (&gt; 0 and &lt; 1)</dd>

</dl>

getMinInfBeta: Get the minimal informative unimodal beta distribution

Description

Usage

Value

Arguments