An Introduction to Fast and Reliable Modeling with RsNLME and Agentic AI

Population PK/PD modeling is a core skill for today’s pharmacometrician, but workflows can be time-consuming, technically demanding, and difficult to scale. RsNLME (R Speaks NLME) addresses this by bringing Certara’s powerful NLME engine directly into the R environment, giving modelers the flexibility of open-source R with the reliability of an industry-standard modeling engine, supporting both GUI and command-line workflows and seamlessly integrating with R’s tidyverse ecosystem.

Its QRPEM estimation algorithm delivers proven numerical stability even for complex, high-dimensional models where other platforms struggle, and because model coding, estimation, diagnostics, and simulation all live within a single R-based ecosystem, there is no need to maintain parallel code across tools.

In this hands-on workshop as part of the DMDG-GMP-SPS Joint Meeting 2026, you will get a practical introduction to population PK/PD modeling with RsNLME, from exploratory data analysis through covariate modeling, goodness of fit diagnostics, and VPC generation.