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Thank you for your interest in Pmetrics, created by the [Laboratory of
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Thank you for your interest in `Pmetrics`, created by the [Laboratory of
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Applied Pharmacokinetics and Bioinformatics](http://www.lapk.org).
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Pmetrics is a library package for R to perform non-parametric and
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`Pmetrics` is a library package for R to perform non-parametric and
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parametric pharmacokinetic-pharmacodynamic population and individual
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modeling and simulation. It is primarily designed for pharmacometric
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researchers.
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Pmetrics is based on over 40 years of research by our laboratory and is
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the most mature non-parametric method available. Nevertheless, Pmetrics
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`Pmetrics` is based on over 40 years of research by our laboratory and is
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the most mature non-parametric method available. Nevertheless, `Pmetrics`
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is dynamically evolving. Best of all, it is SHAREWARE with only a
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suggested donation.
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## Source code
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The open source code for the Pmetrics R package is hosted here on
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Github. LAPKB has developed two other packages,
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[PMcore](https://github.com/LAPKB/PMcore) and
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[pharmsol](https://github.com/LAPKB/pharmsol), which implement the core
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algorithms used by Pmetrics. These packages are also open source and
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available on Github.
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## Installation
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To install and use Pmetrics, you will need **R**, **Rust**, and the
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**Pmetrics** package appropriate for your system.
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### R (required)
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You can download and install [R](https://r-project.org) from the
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[Comprehensive R Archive Network (CRAN)](https://cran.r-project.org/).
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### Rust (required)
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The simulation engine for `Pmetrics` is written in `Rust`, which is required to fit models.
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Follow the instructions on the [Rust
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website](https://www.rust-lang.org/tools/install) to install Rust on
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your system.
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### Pmetrics
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`Pmetrics` is distributed on [r-universe](https://lapkb.r-universe.dev/Pmetrics), and built for Windows, MacOS, and Linux. To install, you must specify `r-universe` as the repository using
[`PMcore`](https://github.com/LAPKB/PMcore) depends on `pharmsol` to fit models to data, and implements the different algorithms which are made available in `Pmetrics`.
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