mlxR (3.2.0)

Simulation of Longitudinal Data.

http://simulx.webpopix.org
http://cran.r-project.org/web/packages/mlxR

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.

Maintainer: Marc Lavielle
Author(s): Marc Lavielle [aut, cre], Raphael Kuate [ctb]

License: BSD_2_clause + file LICENSE

Uses: ggplot2, Rcpp, XML, gridExtra, reshape2, shiny
Reverse suggests: Rsmlx

Released over 2 years ago.