Pmetrics is a population modeling and simulation package for R. It can model data using nonparametric and parametric approaches. Some excellent articles discussing the differences, strengths, and limitations of both approaches are below.
- Goutelle, Sylvain, Jean‐Baptiste Woillard, Thierry Buclin, Laurent Bourguignon, Walter Yamada, Chantal Csajka, Michael Neely, and Monia Guidi. “Parametric and Nonparametric Methods in Population Pharmacokinetics: Experts’ Discussion on Use, Strengths, and Limitations.” The Journal of Clinical Pharmacology 62, no. 2 (February 2022): 158–70. https://doi.org/10.1002/jcph.1993.
- Goutelle, Sylvain, Jean‐Baptiste Woillard, Michael Neely, Walter Yamada, and Laurent Bourguignon. “Nonparametric Methods in Population Pharmacokinetics.” The Journal of Clinical Pharmacology 62, no. 2 (February 2022): 142–57. https://doi.org/10.1002/jcph.1650.
- Guidi, Monia, Chantal Csajka, and Thierry Buclin. “Parametric Approaches in Population Pharmacokinetics.” Journal of Clinical Pharmacology 62, no. 2 (February 2022): 125–41. https://doi.org/10.1002/jcph.1633.
It’s easy and all free!
- Install R
- Install Rstudio, which will soon be rebranded as posit.
- Install the devtools package into Rstudio. The easiest way is to click the Install button on the Packages tab, and search the CRAN repository for devtools.
- Type the following into the R console (lower left window):
- Launch Pmetrics in Rstudio with
PMbuild()to download necessary components and install them. It might be many components, depending on your system.
Head on over to our Discussion board at Github.
A good place to start is to run
will install an Examples folder at your chosen
location, which will contain sample data, models, and a script to get
you started building and simulating from population models. Also have a
look at the Articles on this website. All functions are extensively
documented, most with examples, which can be seen in the Reference
section of the website.
There are also more tutorials and references on our Laboratory of
Applied Pharmacokinetics and Bioinformatics website.