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Learn the basics of rxode2 and its model language.
Coming from another tool
How rxode2 compares with other simulation software.
Models
Build and modify models.
Dosing and events
Describe doses and observations with datasets, event tables or in-model dosing.
Simulation
Simulate individuals and populations, with variability and uncertainty.
- Solving a single subject
- Simulating populations
- Simulating in a pipeline
- Simulating from observed data
- Nesting levels (IOV and beyond)
- Parameter uncertainty
- Summarizing simulations with confint()
- ETA and EPS resampling
- Phase 1 vs phase 3 residual error
- Working with solved data frames
- Plotting results
Worked examples
End-to-end simulation workflows.
Solving and speed
Choose solvers and solve large or stiff problems quickly.
For developers
Extend rxode2 or build packages on top of it.
Legacy input styles
Low-level models, classic event tables and classic evid codes.