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: Linking:Please use the canonical form https://CRAN.R-project.org/package=mlxR to link to this page.
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