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 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 |
Documentation:
Downloads:
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