scen-class: An S4 class to represent a simulated scenarios.
In dfpk: Bayesian Dose-Finding Designs using Pharmacokinetics (PK) for Phase I Clinical Trials
Description
An S4 class to represent a simulated scenarios.
Slots
PKparametersSubject's pharmacokinetic's (PK) parameters from the population distributions defined by the population mean.
nPKThe length of the time points.
timeThe sampling time points.
idtrThe id number of the corresponding simulated dataset.
NThe total sample size per trial.
dosesA vector with the doses panel.
prealThe prior toxicity probabilities.
limitToxThe toxicity threshold.
omegaIIVThe inter-individual variability for the clearance and the volume of distribution.
omegaAlphaThe patient's sensitivity parameter.
concThe concentration computed at the PK population values.
concPredThe concentration values with proportional errors for each patient at each dose.
toxThe toxicity outcome.
tabA summary matrix containing the sampling time points at the first row followed by concPred, parameters and alphaAUC. It used by the simulation function nsim.
parametersThe simulated PK parameters of each patient.
alphaAUCA vector with the computed AUC values of each patient.
dfpk documentation built on May 2, 2019, 8:31 a.m.
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Description
An S4 class to represent a simulated scenarios.
Slots
PKparametersSubject's pharmacokinetic's (PK) parameters from the population distributions defined by the population mean.
nPKThe length of the time points.
timeThe sampling time points.
idtrThe id number of the corresponding simulated dataset.
NThe total sample size per trial.
dosesA vector with the doses panel.
prealThe prior toxicity probabilities.
limitToxThe toxicity threshold.
omegaIIVThe inter-individual variability for the clearance and the volume of distribution.
omegaAlphaThe patient's sensitivity parameter.
concThe concentration computed at the PK population values.
concPredThe concentration values with proportional errors for each patient at each dose.
toxThe toxicity outcome.
tabA summary matrix containing the sampling time points at the first row followed by concPred, parameters and alphaAUC. It used by the simulation function nsim.
parametersThe simulated PK parameters of each patient.
alphaAUCA vector with the computed AUC values of each patient.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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