Print generic for class NlmePmlModel
print.NlmePmlModel.Rd
Prints model information, including PML and column mappings.
Usage
# S3 method for class 'NlmePmlModel'
print(x, ...)
Examples
model <- pkmodel(columnMap = FALSE,
data = pkData,
workingDir = tempdir())
print(model)
#>
#> Model Overview
#> -------------------------------------------
#> Model Name : Model_25_08_06_07_13
#> Working Directory : C:\Users\jcraig\AppData\Local\Temp\RtmpI3HPMy
#> Is population : TRUE
#> Model Type : PK
#>
#> PK
#> -------------------------------------------
#> Parameterization : Clearance
#> Absorption : Intravenous
#> Num Compartments : 1
#> Dose Tlag? : FALSE
#> Elimination Comp ?: FALSE
#> Infusion Allowed ?: FALSE
#> Sequential : FALSE
#> Freeze PK : FALSE
#>
#> PML
#> -------------------------------------------
#> test(){
#> cfMicro(A1,Cl/V)
#> dosepoint(A1)
#> C = A1 / V
#> error(CEps=0.1)
#> observe(CObs=C * ( 1 + CEps))
#> stparm(V = tvV * exp(nV))
#> stparm(Cl = tvCl * exp(nCl))
#> fixef( tvV = c(,1,))
#> fixef( tvCl = c(,1,))
#> ranef(diag(nV,nCl) = c(1,1))
#> }
#>
#> Structural Parameters
#> -------------------------------------------
#> V Cl
#> -------------------------------------------
#> Observations:
#> Observation Name : CObs
#> Effect Name : C
#> Epsilon Name : CEps
#> Epsilon Type : Multiplicative
#> Epsilon frozen : FALSE
#> is BQL : FALSE
#> -------------------------------------------
#> Column Mappings
#> -------------------------------------------
#> Model Variable Name : Data Column name
#> id : ?
#> time : ?
#> A1 : ?
#> CObs : ?
#>