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Rsmlx  

R Speaks 'Monolix'
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("Rsmlx", "2024.1.0")



Attach the package and use:
library("Rsmlx")
Maintained by
Chloe Bracis
[Scholar Profile | Author Map]
First Published: 2018-06-21
Latest Update: 2023-06-14
Description:
Provides methods for model building and model evaluation of mixed effects models using 'Monolix' . 'Monolix' is a software tool for nonlinear mixed effects modeling that must have been installed in order to use 'Rsmlx'. Among other tasks, 'Rsmlx' provides a powerful tool for automatic PK model building, performs statistical tests for model assessment, bootstrap simulation and likelihood profiling for computing confidence intervals. 'Rsmlx' also proposes several automatic covariate search methods for mixed effects models.
How to cite:
Chloe Bracis (2018). Rsmlx: R Speaks 'Monolix'. R package version 2024.1.0, https://cran.r-project.org/web/packages/Rsmlx. Accessed 16 Apr. 2025.
Previous versions and publish date:
1.0.1 (2018-06-21 19:38), 1.1.0 (2018-07-16 19:40), 2.0.2 (2019-04-30 09:10), 3.0.0 (2021-01-19 14:50), 4.0.1 (2022-02-22 08:10), 4.0.2 (2022-03-04 15:30), 5.0.1 (2022-06-15 18:50), 2023.1.1 (2023-06-15 01:12), 2023.1.5 (2023-10-17 15:20)
Other packages that cited Rsmlx R package
View Rsmlx citation profile
Other R packages that Rsmlx depends, imports, suggests or enhances
Complete documentation for Rsmlx
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