Date and time:
Friday, November 9th, 2018
13:00 - 18:00 h
Facilities:
Computer Classroom, Coordination of Learning Technologies (CUCEI, UdG)
The nlmixr team will be running a half-day hands-on workshop on simulation (RxODE) and parameter estimation using the free and open-source R-based nonlinear mixed effect modelling platform nlmixr on Friday, November 9th 2018 @ 1pm - 6pm. The course will consist of a mixture of lectures and hands-on exercises. nlmixr is an open source R package for population PK and PKPD modelling, and builds on the RxODE package for simulation of nonlinear mixed effect models using ordinary differential equations, by implementing parameter estimation algorithms like nlme and SAEM. nlmixr greatly expands the utility of existing packages (like nlme) by providing an efficient and versatile way to specify pharmacometric models and dosing scenarios, and allows for the estimation and simulation of nonlinear mixed effect models across multiple disease areas during drug development and clinical practice. nlmixr features a domain-specific modeling language unifying all the estimation engines and reducing the learning curve needed to become proficient. This session will further include discussion of “shinyMixR”, a Shiny tool for nlmixr, which facilitates 1) dynamic and interactive model development, 2) quick and efficient communication of population PKPD models, 3) rapid demonstrations of simulation results from PK and PKPD modeling, and 4) report building. The ability to perform population modeling in R provides a single unified workflow for data management, data exploration, data analysis and report building. nlmixr is available on CRAN and GitHub (https://github.com/nlmixrdevelopment/nlmixr) with a dedicated nlmixr/shinyMixR bookdown (https://nlmixrdevelopment.github.io).