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.

Version: 3.1.0
Depends: R (≥ 3.0.1), ggplot2
Imports: XML, Rcpp (≥ 0.11.3), tools, tcltk, methods, graphics, grDevices, utils, stats
Suggests: reshape2, gridExtra, shiny
Published: 2016-09-16
Author: Marc Lavielle [aut, cre], Raphael Kuate [ctb]
Maintainer: Marc Lavielle <Marc.Lavielle at inria.fr>
BugReports: https://github.com/MarcLavielle/mlxR/issues
License: BSD_2_clause + file LICENSE
Copyright: Inria
URL: http://simulx.webpopix.org
NeedsCompilation: no
Materials: README
CRAN checks: mlxR results

Downloads:

Reference manual: mlxR.pdf
Package source: mlxR_3.1.0.tar.gz
Windows binaries: r-devel: mlxR_3.1.0.zip, r-release: mlxR_3.1.0.zip, r-oldrel: mlxR_3.1.0.zip
OS X Mavericks binaries: r-release: mlxR_3.1.0.tgz, r-oldrel: mlxR_3.1.0.tgz
Old sources: mlxR archive

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