Join us *TOMORROW AT NOON (EDT)* to learn how to use mrgsolve to facilitate simulation from hierarchical, ODE‐based PK/PD and systems pharmacology models frequently employed in pharmaceutical R&D programs.
With mrgsolve, you are able to implement model‐based simulations to help address questions at a variety of stages of a development program. This presentation is a part of the ISoP Pharmacometrics Study Group. *Live link: *http://www.youtube.com/watch?v=ts3Lj3hVyiw Background: mrgsolve facilitates simulation in R from hierarchical, ordinary differential equation (ODE) based models typically employed in drug development. The modeler creates a model specification file consisting of R and C++ code that is parsed, compiled, and dynamically loaded into the R session. Input data are passed in and simulated data are returned as R objects, so disk access is never required during the simulation cycle after compiling. Features include: - NMTRAN-like input data sets - Bolus, infusion, compartment on/off and reset functionality - Bioavailability, ALAG, SS, II, ADDL, MTIME - Multivariate normal random effects simulated using RcppArmadillo - Compatible with parameter estimation and design packages in R (nlme, saemix, PopED, PFIM) - Integration with data summary (dplyr) and plotting (ggplot, lattice) packages - Parallelization with existing R infrastructure (mclapply) or Sun Grid Engine (qapply) - Compatible with output from many different model estimation platforms - Easily integrated with Shiny to create model-visualization applications mrgsolve is a powerful and efficient tool for simulation from ODE-based PK/PD and systems pharmacology models. The resulting computational efficiency facilitates model exploration and application, both during model development and decision-making phases of a drug development program. Resources: https://github.com/metrumresearchgroup/mrgsolve User Guide: https://mrgsolve.github.io/user_guide About the StudyGroup: https://isop-phmx.github.io/studyGroup/ We are also offering hands-on mrgsolve workshops in a city near you! Visit http://goo.gl/d4hK7U for more info. Hope you can join us! Metrum Research Group Team
