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The examples aim at sharing used code to handle simulation-based workflows with NMsim. When building your own code, please also see the manuals of key functions, ?NMsim being an obvious example.

NMsim - Seamless NONMEM Simulation Platform in R is the place to start. It contains basic information to get you started and demonstrates the most common types of simulations.

You can let your interests guide your next topic. Use Requirements and Configuration as needed. If you have not yet run your first successful NMsim() calls, it’s worth a read, at least half-through.

For simulation with variability on parameters ($THETA’s, $OMEGA’s, and $SIGMA’s), currently most up to date is NMsim - Simulation-Based Forest Plots with NMsim

Also, see recent Publications.

NMsim - Seamless NONMEM Simulation Platform in R

Philip Delff

  • Configuration
  • Simulation of typical subjects and new subjects
  • Creation of Simulation data sets
  • Simulate multiple models
  • Reuse Emperical Bayes’ Estimates (known ETAs)
  • Read previously generated simulations

VPC Simulations

Philip Delff

Simulation-Based Forest Plots with NMsim

Philip Delff, Boris Grinshpun

Requirements and Configuration

Philip Delff

  • Specify the path to the Nonmem executable (path.nonmem).
  • Set default values for path.nonmem and output directories.

Examples waiting for updates

NMsim and speed

Philip Delff