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mlxR  

Simulation of Longitudinal Data
View on CRAN: Click here


Download and install mlxR package within the R console
Install from CRAN:
install.packages("mlxR")

Install from Github:
library("remotes")
install_github("cran/mlxR")

Install by package version:
library("remotes")
install_version("mlxR", "4.2.0")



Attach the package and use:
library("mlxR")
Maintained by
Marc Lavielle
[Scholar Profile | Author Map]
First Published: 2015-01-12
Latest Update: 2021-01-19
Description:
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.
How to cite:
Marc Lavielle (2015). mlxR: Simulation of Longitudinal Data. R package version 4.2.0, https://cran.r-project.org/web/packages/mlxR. Accessed 06 Apr. 2025.
Previous versions and publish date:
2.1.0 (2015-01-12 23:28), 2.1.1 (2015-02-05 13:00), 2.2.0 (2015-05-31 18:22), 3.0.0 (2016-04-01 16:17), 3.1.0 (2016-09-16 18:15), 3.2.0 (2017-04-29 17:46), 3.3.0 (2018-02-20 12:56), 4.0.0 (2019-04-18 18:00), 4.0.6 (2019-06-28 13:40), 4.1.0 (2019-10-11 14:20), 4.1.3 (2020-06-02 15:40)
Other packages that cited mlxR R package
View mlxR citation profile
Other R packages that mlxR depends, imports, suggests or enhances
Complete documentation for mlxR
Downloads during the last 30 days
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