pmcore 0.2.1

Rust library with the building blocks needed to create new Non-Parametric algorithms and its integration with Pmetrics.
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# PMcore
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Rust library with the building blocks to create and implement new non-parametric algorithms for population pharmacokinetic modelling and their integration with [Pmetrics](https://github.com/LAPKB/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.

- [x] Non Parametric Adaptive Grid (NPAG)
    - [Yamada et al (2021)](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7823953/)
    - [Neely et al (2012)](https://pubmed.ncbi.nlm.nih.gov/22722776/)
- [x] Non Parametric Optimal Design (NPOD)
  - [Otalvaro et al (2023)](https://pubmed.ncbi.nlm.nih.gov/36478350/)
  - [Leary et al (2003)](https://www.page-meeting.org/default.asp?abstract=421)
- [ ] Non Parametric Simulated Annealing (NPSA)
  - [Chen et al (2023)](https://arxiv.org/abs/2301.12656)

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](https://lapkb.github.io/PMcore/)