Pmetrics 3: Population Modeling and Simulation

On behalf of our entire group, we are excited to announce that Pmetrics 3 is now live! While there is not much change with respect to the R framework compared to Pmetrics 2, we have done so much under the hood in our transition to modern, efficient, fast code.

About

Pmetrics is a library package for R to perform non-parametric and parametric pharmacokinetic-pharmacodynamic population and individual modeling and simulation. It is primarily designed for pharmacometric researchers.

Pmetrics is based on over 50 years of research by our laboratory and is the most mature non-parametric method available. Nevertheless, Pmetrics is dynamically evolving.

Key Features

• Non-parametric and parametric population PK/PD modeling
• Dynamic, interactive plots with the R plotly package
• Monte Carlo simulation capabilities
• Object-oriented code for stability and error checking
• Covariate analysis with any structural model

What’s New in Version 3

• Fortran has been replaced by Rust, a modern, fast language
• Simplified model building
• Handling observations that are below or above limits of quantification
• Independent error models (gamma/lambda) for each output equation
• Eliminating constraints on population size, number of random parameters, and number of support points in discrete simulation priors
• Allowing additional doses to be added before or after time 0
• Converting plotly interactive plots to static ggplots with plotlygg(), our custom complementary function to plotly::ggplotly().

Installation

Instructions are available in the README section of the github repository.

Learn More

View Full Documentation | GitHub Repository | Community Forum | Learn More About Pmetrics