mlxR: 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.

AuthorMarc Lavielle [aut, cre], Raphael Kuate [ctb]
Date of publication2016-09-16 18:15:50
MaintainerMarc Lavielle <Marc.Lavielle@inria.fr>
LicenseBSD_2_clause + file LICENSE
Version3.1.0
http://simulx.webpopix.org

View on CRAN

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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