PseudoDualSimulations-class {crmPack}

This is a class which captures the trial simulations design using both the DLE and efficacy responses. The design of model from ModelTox class and the efficacy model from ModelEff class (except EffFlexi class). It contains all slots from GeneralSimulations and PseudoSimulations object. In comparison to the parent class PseudoSimulations, it contains additional slots to capture the dose-efficacy curve and the sigma2 estimates.

Description

This is a class which captures the trial simulations design using both the DLE and efficacy responses. The design of model from ModelTox class and the efficacy model from ModelEff class (except EffFlexi class). It contains all slots from GeneralSimulations and PseudoSimulations object. In comparison to the parent class PseudoSimulations, it contains additional slots to capture the dose-efficacy curve and the sigma2 estimates.

Slots

fitEff

list of the final values. If DLE and efficacy samples are gerneated, it contains the final fitted values. If no DLE and efficacy samples are used, it contains the modal estimates of the parameters in the two models and the posterior estimates of the probabilities of the occurrence of a DLE and the expected efficacy responses.

FinalGstarEstimates

a vector of the final estimates of Gstar at the end of each simulations.

FinalGstarAtDoseGrid

is a vectorof the final estimates of Gstar at dose Grid at the end of each simulations

FinalGstarCIs

is the list of all 95% credibility interval of the final estimates of Gstar

FinalGstarRatios

is the vector of the ratios of the CI, the ratio of the upper to the lower 95% credibility interval of the final estimates of Gstar

FinalOptimalDose

is the vector of the final optimal dose, the minimum of the final TDtargetEndOfTrial estimates and Gstar estimates

FinalOptimalDoseAtDoseGrid

is the vector of the final optimal dose, the minimum of the final TDtargetEndOfTrial estimates and Gstar estimates at dose Grid

sigma2est

the vector of the final posterior mean sigma2 estimates