Laboratory of Applied Pharmacokinetics and Bioinformatics

USC CHLA
January 15, 2024 • LAPKB Team

Pmetrics 2.1 Released

We are excited to announce the release of Pmetrics version 2.1! This major update brings significant improvements to our population pharmacokinetic modeling and simulation package for R.

What’s New

New Model Building Shiny App

The new interactive Shiny app makes model building more intuitive and accessible. Users can now build and analyze models through a graphical interface while still having access to the full power of R scripting.

Enhanced Plotly Integration

Create extended, dynamic, interactive plots with the R plotly package for better data visualization. The new plotting system provides:

  • Interactive data exploration
  • Customizable visualization options
  • Publication-ready figures
  • Real-time plot manipulation

Object-Oriented Code Architecture

Pmetrics 2.1 features a complete rewrite using object-oriented principles, providing:

  • Improved stability and reliability
  • Built-in error checking and validation
  • Better code organization and maintainability
  • Easier extensibility for future development

Updated Documentation

Complete, updated documentation is now available at https://lapkb.github.io/Pmetrics/, including:

  • Getting started guides
  • Reference documentation
  • Tutorial articles
  • Example workflows

Open Source on GitHub

Full open source code, issue tracking, and discussion boards are available on GitHub:

  • View and contribute to the source code
  • Report bugs and request features
  • Join community discussions
  • Access development history

System Requirements

  • Operating systems: MacOSX (Yosemite or later) and Windows (7 and later), 64 bit systems only
  • Memory (RAM): 4GB
  • Disk: 7 MB free space required for Pmetrics plus space for R and Fortran

Installation

# install.packages("devtools")
devtools::install_github("LAPKB/Pmetrics")

Citation

If you use Pmetrics in your research, please cite:

Neely MN, van Guilder MG, Yamada WM, Schumitzky A, Jelliffe RW. Accurate Detection of Outliers and Subpopulations With Pmetrics, a Nonparametric and Parametric Pharmacometric Modeling and Simulation Package for R. Therapeutic Drug Monitoring. 2012; 34(4): 467-476.

Get Started

Visit our software page to learn more about Pmetrics and how to get started, or jump directly to the documentation.