model_validation: Validates NONMEM estimation model with an mrgsolve simulation...

In amp.sim: Flexible Simulation Utilities for Pharmacometric Modeling

Validates NONMEM estimation model with an mrgsolve simulation model

Description

This function uses the estimates from a NONMEM run and compares this with the results of a simulation run. This function is inspired by a blog post from mrgsolve and mainly looks at the differences in population predictions

Usage

model_validation(
  nmtable,
  simmodel,
  rounding = 4,
  comppred = "CP",
  out = NULL,
  ...
)

Arguments

nmtable	either a character with a file or a data frame including the NONMEM table output
simmodel	character with the file including the mrgsolve model
rounding	numeric with the rounding applied for comparing
comppred	character with the variable in mrgsolve model that should be compared with PRED variable in NONMEM
out	character with the name of the output to create
...	additional arguments passed through to mrgsim function

Details

For a correct comparison, the nmtable should include all variables related to dosing (e.g. AMT/CMT/EVID). The simulation model should be available as a separate file that can be read in using mrgsolve::mread. To use the function, the packages R3port, ggplot2, mrgsolve and dplyr should be installed. Be aware that no variables are renamed in $TABLE in the NONMEM control stream (e.g. AMT2=AMT). This can have unexpected results when comparing.

Value

a file with a PDF report is returned

Author(s)

Richard Hooijmaijers

Examples

  res  <- model_validation(system.file("testfiles/compareParfile",package="amp.sim"),
                           system.file("testfiles/compareModel.cpp",package="amp.sim"),
                           out=NULL)

amp.sim documentation built on May 7, 2026, 5:08 p.m.