PkModel-class: S4 class PkModel representing a pharmacokinetic model and its...

In microsamplingDesign: Finding Optimal Microsampling Designs for Non-Compartmental Pharmacokinetic Analysis

Description

S4 class PkModel representing a pharmacokinetic model and its parameters

Slots

modelFunction

a function of parameters and hyperparameters

parameters

a data.frame of parameters of mean parameters as input to the modelFunction with columns:

• parameter: parameter name for

• explanation: optional explantion

• value: fixed parameter value for PkModel-class, for PkModel-class split up between minValue and maxValue

• coeffVariation: the coefficient of variation ( standard deviation / mean ) specifying between-subject variation, for PkModelRange-class split up into minValue and maxValue

correlationMatrix

correlation matrix of parameters at the log-scale

coeffVariationError

the coefficient of variation for residual normally distributed error, for PkModelRange-class split up into minCoeffVariationError and maxCoeffVariationError @slot dosingInfo data frame containing:

• time numeric, times when a dose is administered

• dose numeric, with an amount of dose

Author(s)

Adriaan Blommaert

microsamplingDesign documentation built on Oct. 13, 2021, 5:10 p.m.