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.

Getting started

Package details

AuthorMarc Lavielle [aut, cre]
MaintainerMarc Lavielle <[email protected]>
LicenseBSD_2_clause + file LICENSE
Version3.3.0
URL http://simulx.webpopix.org
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mlxR")

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mlxR documentation built on Feb. 20, 2018, 5:03 p.m.