ModelPseudo-class

.ModelPseudo

<p>This is the Pseudo model class, from which all models where their prior 
are expressed in form of pseudo data (as if some data are 
available before the trial starts) inherit. It also inherits all slots
from <code>AllModels</code>.No slots for this class</p>

classes

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

ModelPseudo-class function

Class of models using expressing their prior in form of Pseudo data — ModelPseudo-class

Class of models using expressing their prior in form of Pseudo data

ModelPseudo-class: Class of models using expressing their prior in form of Pseudo data

Description

Arguments

See Also