get2ComptModelCurve: provides solution of two compartmental pharmacodynamic model...

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

Description

provides solution of two compartmental pharmacodynamic model at specified time points

Usage

get2ComptModelCurve(parameters, time, dosingInfo,
  internalODEs = pkOdeModel2Compartments, returnAll = FALSE)

Arguments

parameters	a list with correclty named input parameters
time	a numeric vector of times
dosingInfo	a data.frame with 2 colunmns time at which a dose is administered dose the amount administred to the gut
internalODEs	the model function used defaults to pkOdeModel2Compartments
returnAll	logical indicator if TRUE the solutions of all response variables is returned as a data.frame if FALSE only the plasma concentration is returned as a vector, defaults to FALSE

Value

data.frame or numeric vector of solutions, depending on the value of returnAll

Examples

  pkModel               <-  getExamplePkModel()
  parameters            <-  getParameters( pkModel )
  testParameters        <-  parameters[ , "value"] 
  names(testParameters)  <-  parameters[ , "parameter"]
  time                  <-  seq( 0 , 3 , 0.1 )
  dosingInfo            <-  data.frame( time = c( 0 , 1 , 2) , 
       dose = c( 5 , 2 , 1.5 ) )
  get2ComptModelCurve( parameters = testParameters , time , dosingInfo )
  get2ComptModelCurve( parameters = testParameters, time ,
    dosingInfo , returnAll = TRUE )  

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