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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 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 |
| Reference manual: | mlxR.pdf |
| Package source: | mlxR_4.2.0.tar.gz |
| Windows binaries: | r-devel: mlxR_4.2.0.zip, r-release: mlxR_4.2.0.zip, r-oldrel: mlxR_4.2.0.zip |
| 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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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