pkindirectmodel_MappingParameters: PK Indirect model mapping parameters
In Certara.RsNLME: Pharmacometric Modeling

pkindirectmodel_MappingParameters

R Documentation

PK Indirect model mapping parameters

Description

PK Indirect mapping parameters

Usage

pkindirectmodel_MappingParameters(
  ID = NULL,
  Time = NULL,
  A1 = NULL,
  Aa = NULL,
  A = NULL,
  A1_Rate = NULL,
  A1_Duration = NULL,
  Aa_Rate = NULL,
  Aa_Duration = NULL,
  A_Rate = NULL,
  A_Duration = NULL,
  A1Strip = NULL,
  CObs = NULL,
  C1Obs = NULL,
  A0Obs = NULL,
  EObs = NULL,
  nV = NULL,
  nV2 = NULL,
  nV3 = NULL,
  nCl = NULL,
  nCl2 = NULL,
  nCl3 = NULL,
  nKa = NULL,
  nA = NULL,
  nAlpha = NULL,
  nB = NULL,
  nBeta = NULL,
  nC = NULL,
  nGamma = NULL,
  nKe = NULL,
  nK12 = NULL,
  nK21 = NULL,
  nK13 = NULL,
  nK31 = NULL,
  nTlag = NULL,
  nKm = NULL,
  nVmax = NULL,
  nFe = NULL,
  nMeanDelayTime = NULL,
  nShapeParamMinusOne = NULL,
  nShapeParam = NULL
)

Arguments

`ID`	Column mapping argument for input dataset column(s) that identify individual data profiles. Only applicable to population models `isPopulation = TRUE`.
`Time`	Column mapping argument that represents the input dataset column for the relative time used in a study and only applicable to time-based models.
`A1`	Column mapping argument that represents the input dataset column for the amount of drug administered. Only applicable to the following types of models: Models with `absorption = "Intravenous"` and parameterization set to either `"Clearance"`,`"Micro"`, or `"Macro"` Models with `absorption` set to either `"Gamma"`, `"InverseGaussian"`, or `"Weibull"`
`Aa`	Column mapping argument that represents the input dataset column for the amount of drug administered and only applicable to models with `absorption = "FirstOrder"`.
`A`	Column mapping argument that represents the input dataset column for the amount of drug administered and only applicable to models with `absorption = "Intravenous"` and `parameterization = "Macro1"`.
`A1_Rate`	Column mapping argument that represents the input dataset column for the rate of drug administered. Only applicable to the following types of models: Models with `absorption = "Intravenous"`, `infusionAllowed = TRUE` and parameterization set to either `"Clearance"`,`"Micro"` or `"Macro"` Models with `absorption` set to either `"Gamma"`, `"InverseGaussian"`, or `"Weibull"` and `infusionAllowed = TRUE`
`A1_Duration`	Column mapping argument that represents the input dataset column for the duration of drug administered. Only applicable to the following types of models: Models with `absorption = "Intravenous"`, `infusionAllowed = TRUE` with `isDuration = TRUE` and parameterization set to either `"Clearance"`,`"Micro"` or `"Macro"` Models with `absorption` set to either `"Gamma"`, `"InverseGaussian"`, or `"Weibull"` and `infusionAllowed = TRUE` with `isDuration = TRUE`
`Aa_Rate`	Column mapping argument that represents the input dataset column for the rate of drug administered and only applicable to models with `absorption = "FirstOrder"`, `infusionAllowed = TRUE`.
`Aa_Duration`	Column mapping argument that represents the input dataset column for the duration of drug administered and only applicable to models with `absorption = "FirstOrder"`, `infusionAllowed = TRUE`, and `isDuration = TRUE`.
`A_Rate`	Column mapping argument that represents the input dataset column for the rate of drug administered and only applicable to models with `absorption = "Intravenous"`, `infusionAllowed = TRUE`, and `parameterization = "Macro1"`.
`A_Duration`	Column mapping argument that represents the input dataset column for the duration of drug administered and only applicable to models with `absorption = "Intravenous"`, `infusionAllowed = TRUE`, `isDuration = TRUE`, and `parameterization = "Macro1"`.
`A1Strip`	Column mapping argument that represents the input dataset column for the stripping dose and only applicable to models with `parameterization = "Macro"`.
`CObs`	Column mapping argument that represents the input dataset column for the observations of drug concentration in the central compartment and only applicable to models with `parameterization` being either set to either `"Clearance"` or `"Micro"`.
`C1Obs`	Column mapping argument that represents the input dataset column for the observations of drug concentration in the central compartment and only applicable to models with `parameterization` being either set to either `"Macro"` or `"Macro1"`.
`A0Obs`	Column mapping argument that represents the input dataset column for the observed amount of drug in the elimination compartment. (`hasEliminationComp = TRUE`).
`EObs`	Column mapping argument that represents the input dataset column for the observed drug effect.
`nV`	If `isSequential = TRUE`, mapped to the input dataset column that lists the values for random effect `nV`.
`nV2`	If `isSequential = TRUE`, mapped to the input dataset column that lists the values for random effect `nV2`.
`nV3`	If `isSequential = TRUE`, mapped to the input dataset column that lists the values for random effect `nV3`.
`nCl`	If `isSequential = TRUE`, mapped to the input dataset column that lists the values for random effect `nCl`.
`nCl2`	If `isSequential = TRUE`, mapped to the input dataset column that lists the values for random effect `nCl2`.
`nCl3`	If `isSequential = TRUE`, mapped to the input dataset column that lists the values for random effect `nCl3`.
`nKa`	If `isSequential = TRUE`, mapped to the input dataset column that lists the values for random effect `nKa`.
`nA`	If `isSequential = TRUE`, mapped to the input dataset column that lists the values for random effect `nA`.
`nAlpha`	If `isSequential = TRUE`, mapped to the input dataset column that lists the values for random effect `nAlpha`.
`nB`	If `isSequential = TRUE`, mapped to the input dataset column that lists the values for random effect `nB`.
`nBeta`	If `isSequential = TRUE`, mapped to the input dataset column that lists the values for random effect `nBeta`.
`nC`	If `isSequential = TRUE`, mapped to the input dataset column that lists the values for random effect `nC`.
`nGamma`	If `isSequential = TRUE`, mapped to the input dataset column that lists the values for random effect `nGamma`.
`nKe`	If `isSequential = TRUE`, mapped to the input dataset column that lists the values for random effect `nKe`.
`nK12`	If `isSequential = TRUE`, mapped to the input dataset column that lists the values for random effect `nK12`.
`nK21`	If `isSequential = TRUE`, mapped to the input dataset column that lists the values for random effect `nK21`.
`nK13`	If `isSequential = TRUE`, mapped to the input dataset column that lists the values for random effect `nK13`.
`nK31`	If `isSequential = TRUE`, mapped to the input dataset column that lists the values for random effect `nK31`.
`nTlag`	If `isSequential = TRUE`, mapped to the input dataset column that lists the values for random effect `nTlag`.
`nKm`	If `isSequential = TRUE`, mapped to the input dataset column that lists the values for random effect `nKm`.
`nVmax`	If `isSequential = TRUE`, mapped to the input dataset column that lists the values for random effect `nVmax`.
`nFe`	If `isSequential = TRUE` and `isFractionExcreted = TRUE`, mapped to the input dataset column that lists the values for random effect `nFe`.
`nMeanDelayTime`	If `isSequential = TRUE`, mapped to the input dataset column that lists the values for random effect `nMeanDelayTime`.
`nShapeParamMinusOne`	If `isSequential = TRUE`, mapped to the input dataset column that lists the values for random effect `nShapeParamMinusOne`.
`nShapeParam`	If `isSequential = TRUE`, mapped to the input dataset column that lists the values for random effect `nShapeParam`.