Simulation of Longitudinal Data

Simulation and visualization of complex models for longitudinal data. The models are encoded using the model coding language 'Mlxtran' and automatically converted into C++ codes. 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.

A package for the simulation and visualization of mixed effects models. See this page for more information.


To use mlxR you first need to install mlxLibrary from here

You can install the development version from github:

install_github("MarcLavielle/mlxR" )


Reference manual

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4.2.0 by Marc Lavielle, 9 months ago

Report a bug at

Browse source code at

Authors: Marc Lavielle [aut, cre] , Esther Ilinca [ctb] , Raphael Kuate [ctb]

Documentation:   PDF Manual  

BSD_2_clause + file LICENSE license

Imports tools, methods, graphics, grDevices, utils, stats

Depends on ggplot2

Suggests XML, Rcpp, reshape2, gridExtra, shiny

Suggested by Rsmlx.

See at CRAN