ModelEff

ModelEff is the parent class for efficacy models using pseudo data prior. It is dedicated all efficacy models that have their prior specified in the form of pseudo data (as if there is some data before the trial starts).

The data must obey the convention of the DataDual class. This refers to any observed efficacy/biomarker responses (w in DataDual), the dose levels at which these responses are observed (x in DataDual), all dose levels considered in the study (doseGrid in DataDual), and finally other specifications in DataDual class that can be used to generate prior or posterior modal estimates or samples estimates for model parameter(s). If no responses are observed, at least doseGrid has to be specified in data for which prior modal estimates or samples can be obtained for model parameters based on the specified pseudo data.

Usage

.DefaultModelEff()

Slots

data

(DataDual)
observed data that is used to obtain model parameters estimates or samples (see details above).

Note

Typically, end users will not use the .DefaultModelEff() function.

See also

ModelTox.