Simulation of Longitudinal Data

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.


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

install

To use mlxR you first need to install mlxLibrary from here

Then you can install the development version from github:

library("devtools")
install_github("MarcLavielle/mlxR" )
library("mlxR")

News

Reference manual

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install.packages("mlxR")

3.2.0 by Marc Lavielle, 5 months ago


http://simulx.webpopix.org


Report a bug at https://github.com/MarcLavielle/mlxR/issues


Browse source code at https://github.com/cran/mlxR


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


Documentation:   PDF Manual  


BSD_2_clause + file LICENSE license


Imports XML, Rcpp, tools, methods, graphics, grDevices, utils, stats, tcltk

Depends on ggplot2

Suggests reshape2, gridExtra, shiny


See at CRAN