**Title:**PKPD Simulations Using mlxR
General Topic: Introduction to use of mlxR
Livelink Feed: https://www.youtube.com/watch?v=cFKMdQmddjA
Presenter: Marc Lavielle
Date(s): June 1st
Time: Noon EDT
Background Resources and Code for the Audience: https://cran.r-project.org/web/packages/mlxR/index.html
Website: http://simulx.webpopix.org/mlxr/
https://github.com/isop-phmx/studyGroup/issues/25
Background
the mlxR package allows for quick and easy simulation and visualization of complex
models for longitudinal data. The models are encoded using the model coding
language ‘Mlxtran’, automatically converted into C++ codes, compiled on the
fly and linked to R using the ‘Rcpp’ package. That allows one to implement
very easily complex ODE-based models and complex statistical models,
including mixed effects models, for continuous, count, categorical, and
time-to-event data.