mlxR: Simulation of Longitudinal Data
Simulation and visualization of complex
models for longitudinal data. The models are encoded using the model coding
language 'Mlxtran', automatically converted into C++ codes, compiled on the
fly and linked to R using the 'Rcpp' package. 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: |
2.2.0 |
| Depends: |
R (≥ 3.0.1), ggplot2 |
| Imports: |
XML, Rcpp (≥ 0.11.3), tools, tcltk |
| Suggests: |
reshape2, gridExtra, shiny |
| Published: |
2015-05-31 |
| Author: |
Marc Lavielle [aut, cre],
Raphael Kuate [ctb],
Romain Francois [ctb],
Fazia Bellal [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 |
Downloads: