mlxR: Simulation of Longitudinal Data

Simulation and visualization of complex models for longitudinal data. The models are encoded using the model coding language 'Mlxtran' and automatically converted into C++ codes. 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: 4.2.0
Depends: R (≥ 3.0.1), ggplot2
Imports: tools, methods, graphics, grDevices, utils, stats
Suggests: XML, Rcpp (≥ 0.11.3), reshape2, gridExtra, shiny
Published: 2021-01-19
DOI: 10.32614/CRAN.package.mlxR
Author: Marc Lavielle [aut, cre], Esther Ilinca [ctb], Raphael Kuate [ctb]
Maintainer: Marc Lavielle <Marc.Lavielle at>
License: BSD_2_clause + file LICENSE
Copyright: Inria
NeedsCompilation: no
Materials: README
CRAN checks: mlxR results


Reference manual: mlxR.pdf


Package source: mlxR_4.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mlxR_4.2.0.tgz, r-oldrel (arm64): mlxR_4.2.0.tgz, r-release (x86_64): mlxR_4.2.0.tgz, r-oldrel (x86_64): mlxR_4.2.0.tgz
Old sources: mlxR archive


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