rxode2: Facilities for Simulating from ODE-Based Models

An R package providing facilities for running simulations from ordinary differential equation models, such as those used in pharmacometrics. The package, authored by Matthew Fidler, uses a compilation manager to translate ODE models into C for improved computational efficiency. It includes an event table object for specifying complex dosing regimens and sampling schedules.

Use Cases

• Simulate pharmacokinetic/pharmacodynamic (PK/PD) models based on the ODE simulation capabilities.
• Test complex dosing regimens for drug development based on the event table specification feature.
• Compare numerical solvers for ODE systems based on the inclusion of 'VODE' and 'LSODA' methods.

Strengths

• Designed for improved computational efficiency by translating models to compiled C code.
• Includes an event table object for specifying complex dosing and sampling schedules.
• Integrates established public-domain numerical solvers 'VODE' and 'LSODA'.

Limitations

• Row count and dataset scale are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Requires C and Fortran compilers for installation, adding a technical barrier.

Provenance

Source

Matthew Fidler via paperswithcode

Collection Method

Software package for simulation, not a static dataset.