mhovd/npcore

Rust Library with the building blocks needed to create new Non-Parametric algorithms and their integration with Pmetrics

NPcore

Rust library with the building blocks to create and implement new non-parametric algorithms for population pharmacokinetic modelling and their integration with Pmetrics.

Implemented functionality

• Solver for ODE-based population pharmacokinetic models
• Supports the Pmetrics data format for seamless integration
• Covariate support, carry-forward or linear interpolation
• Option to cache results for improved speed
• Powerful simulation engine
• Informative Terminal User Interface (TUI)

Available algoritms

This project aims to implement several algorithms for non-parametric population pharmacokinetic modelling.

• Non Parametric Adaptive Grid (NPAG)
  • Yamada et al (2021)
  • Neely et al (2012)
• Non Parametric Optimal Design (NPOD)
  • Otalvaro et al (2023)
  • Leary et al (2003)
• Non Parametric Simulated Annealing (NPSA)
  • Chen et al (2023)

In the future we also aim to support parametric algorithms, such as the Iterative 2-Stage Bayesian (IT2B)

Examples

There are two examples using NPAG implemented in this repository, bimodal_ke and two_eq_lag.

You may run them with the following command, e.g.

cargo run --example bimodal_ke --release

Look at the corresponding examples/.../*.toml-file to change the configuration for each run.

Documentation

For more information on how to use this crate, please review the documentation