PseudoDualSimulations-class | R Documentation |
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.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.
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
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