Validate

Starting from an empty <code>msg</code> vector, with each check that is returning
FALSE the vector gets a new element - the string explaining the failure of
the validation

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

Validate function

<dl>
<dt><code>msg</code></dt>
<dd>the message character vector</dd></dl>

Fields

A Reference Class to help programming validation for new S4 classes — Validate

<dl>
<dt><code>msg</code></dt>
<dd>the message character vector</dd>


</dl>

Validate: A Reference Class to help programming validation for new S4 classes

Description

Arguments

Fields