pmcore
| Crates.io | pmcore |
| lib.rs | pmcore |
| version | |
| source | src |
| created_at | 2024-02-10 15:55:42.817876+00 |
| updated_at | 2025-04-03 14:27:00.175601+00 |
| description | Rust library with the building blocks needed to create new Non-Parametric algorithms and its integration with Pmetrics. |
| homepage | |
| repository | https://github.com/LAPKB/PMcore |
| max_upload_size | |
| id | 1135026 |
| Cargo.toml error: | TOML parse error at line 27, column 1 | 27 | autolib = false | ^^^^^^^ unknown field `autolib`, expected one of `name`, `version`, `edition`, `authors`, `description`, `readme`, `license`, `repository`, `homepage`, `documentation`, `build`, `resolver`, `links`, `default-run`, `default_dash_run`, `rust-version`, `rust_dash_version`, `rust_version`, `license-file`, `license_dash_file`, `license_file`, `licenseFile`, `license_capital_file`, `forced-target`, `forced_dash_target`, `autobins`, `autotests`, `autoexamples`, `autobenches`, `publish`, `metadata`, `keywords`, `categories`, `exclude`, `include` |
| size | 0 |
Markus Hovd (mhovd)
documentation
https://lapkb.github.io/PMcore/pmcore/
README
PMcore
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
Available algorithms
This project aims to implement several algorithms for non-parametric population pharmacokinetic modelling.
- Non Parametric Adaptive Grid (NPAG)
- Non Parametric Optimal Design (NPOD)
- Non Parametric Simulated Annealing (NPSA)
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
Documentation
For more information on how to use this crate, please review the documentation