Skip to contents

An example xpose::xpose_data object for use in examples and tests. It holds a one-compartment (Clearance-parameterized) PK model with three covariates, fit with Phoenix NLME (phx/nlme) and imported via xposeNlmeModel().

Format

An xpose::xpose_data object.

Details

The model was built from the real Certara.RsNLME::pkData dataset (16 subjects, 112 observations, single bolus dose) using a clearance-parameterized one-compartment model with a proportional residual error, diagonal random effects on V and Cl, and the covariates age and wt (continuous) plus sex (categorical: male/female). Roughly reproduced with:


library(Certara.RsNLME)
model <- pkmodel(
    parameterization = "Clearance",
    numCompartments = 1,
    data = pkData,
    ID = "Subject",
    Time = "Act_Time",
    A1 = "Amount",
    CObs = "Conc",
    workingDir = tempdir()
  ) |>
  addCovariate("age") |>
  addCovariate("wt") |>
  addCovariate("sex", type = "Categorical",
               levels = c(0, 1), labels = c("male", "female")) |>
  colMapping(age = "Age", wt = "BodyWeight", sex = "Gender")

Examples

print(xpdb_ex_Nlme)
#>  overview: 
#>  - Software: phx/nlme 26.9.0.746 
#>  - Attached files (memory usage 15.6 Mb): 
#>    + obs tabs: $prob no.1: nlme 
#>    + sim tabs: <none> 
#>    + output files: ConvergenceData, Overall, prmTable 
#>    + special: nlme eta_subject (#1) 
#>  - gg_theme: 
#>  - xp_theme:  (modified) 
#>  - Options: dir = NULL, quiet = TRUE