Package: Rsmlx 2024.1.0

Chloe Bracis

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.

Authors:Chloe Bracis [ctb, cre], Frano Mihaljevic [aut], Marc Lavielle [aut], Jonathan Chauvin [ctb], Clémence Pinaud [ctb]

Rsmlx_2024.1.0.tar.gz
Rsmlx_2024.1.0.zip(r-4.5)Rsmlx_2024.1.0.zip(r-4.4)Rsmlx_2024.1.0.zip(r-4.3)
Rsmlx_2024.1.0.tgz(r-4.5-any)Rsmlx_2024.1.0.tgz(r-4.4-any)Rsmlx_2024.1.0.tgz(r-4.3-any)
Rsmlx_2024.1.0.tar.gz(r-4.5-noble)Rsmlx_2024.1.0.tar.gz(r-4.4-noble)
Rsmlx_2024.1.0.tgz(r-4.4-emscripten)Rsmlx_2024.1.0.tgz(r-4.3-emscripten)
Rsmlx.pdf |Rsmlx.html
Rsmlx/json (API)

# Install 'Rsmlx' in R:
install.packages('Rsmlx', repos = c('https://marclavielle.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/marclavielle/rsmlx/issues

Datasets:

On CRAN:

Conda:

3.96 score 4 stars 19 scripts 775 downloads 2 mentions 19 exports 37 dependencies

Last updated 10 months agofrom:c92977e09e. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 07 2025
R-4.5-winOKMar 07 2025
R-4.5-macOKMar 07 2025
R-4.5-linuxOKMar 07 2025
R-4.4-winOKMar 07 2025
R-4.4-macOKMar 07 2025
R-4.4-linuxOKMar 07 2025
R-4.3-winOKMar 07 2025
R-4.3-macOKMar 07 2025

Exports:bootmlxbuildAllbuildmlxbuildVarconfintmlxcovariateSearchgetEstimatedCovarianceMatrixgetEstimatedIndividualParameters2getEstimatedPredictionsgetEstimatedResidualsgetSimulatedPredictionsgetSimulatedResidualsinitRsmlxpkbuildpkpopinireadDatamlxsetSettingstestmlxwhichPKmodel

Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr