The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| 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 |
| Reverse suggests: | Rsmlx |
Please use the canonical form https://CRAN.R-project.org/package=mlxR to link to this page.
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.
Health stats visible at Monitor.