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Rsmlx: R Speaks 'Monolix'

Provides methods for model building and model evaluation of mixed effects models using 'Monolix' <https://monolix.lixoft.com>. '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.

Version: 2023.1.5
Depends: R (≥ 3.0.0)
Imports: graphics, grDevices, utils, stats, MASS, ggplot2, gridExtra, dplyr, tidyr
Suggests: mlxR
Published: 2023-10-17
Author: Frano Mihaljevic [aut, cre], Marc Lavielle [ctb], Jonathan Chauvin [ctb], Clémence Pinaud [ctb]
Maintainer: Frano Mihaljevic <Frano.Mihaljevic at simulations-plus.com>
License: BSD_2_clause + file LICENSE
Copyright: Inria
URL: https://monolix.lixoft.com/rsmlx/
NeedsCompilation: no
SystemRequirements: 'Monolix' (<https://monolix.lixoft.com>)
CRAN checks: Rsmlx results

Documentation:

Reference manual: Rsmlx.pdf

Downloads:

Package source: Rsmlx_2023.1.5.tar.gz
Windows binaries: r-devel: Rsmlx_2023.1.5.zip, r-release: Rsmlx_2023.1.5.zip, r-oldrel: Rsmlx_2023.1.5.zip
macOS binaries: r-release (arm64): Rsmlx_2023.1.5.tgz, r-oldrel (arm64): Rsmlx_2023.1.5.tgz, r-release (x86_64): Rsmlx_2023.1.5.tgz, r-oldrel (x86_64): Rsmlx_2023.1.5.tgz
Old sources: Rsmlx archive

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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