is.probability

Predicate checking for a probability

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.

Daniel Sabanes Bove

crmPack

Object-Oriented Implementation of CRM Designs

Wai Yin Yeung

Giuseppe Palermo

Thomas Jaki

is.probability function

<dl><dt>x</dt>
<dd>the object being checked</dd>
<dt>bounds</dt>
<dd>whether to include the bounds 0 and 1 (default)</dd></dl>

Arguments

Predicate checking for a probability — is.probability

<dl>

<dt>x</dt>
<dd>the object being checked</dd>


<dt>bounds</dt>
<dd>whether to include the bounds 0 and 1 (default)</dd>

</dl>

is.probability: Predicate checking for a probability

Description

Usage

Value

Arguments