mlxR: Simulation of Longitudinal Data (original) (raw)
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 |
| Copyright: | Inria |
| URL: | http://simulx.webpopix.org |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | mlxR results |
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