Movatterモバイル変換


[0]ホーム

URL:


LSAMBA: Lasso-SAMBA Algorithm

Provides a lasso-based method for building mechanistic models using the SAMBA algorithm (Stochastic Approximation for Model Building Algorithm) (M Prague, M Lavielle (2022) <doi:10.1002/psp4.12742>). The package extends the 'Rsmlx' package (version 2024.1.0) to better handle high-dimensional data. It relies on the 'Monolix' software (version 2024R1; see (<https://monolixsuite.slp-software.com/monolix/2024R1/>), which must be installed beforehand.

Version:2024.1.0
Depends:R (≥ 2.10),Rsmlx (≥ 2024.1.0),foreach
Imports:doParallel,dplyr,ggplot2, grDevices,latex2exp,MASS, parallel,sharp,stringr
Published:2025-05-20
DOI:10.32614/CRAN.package.LSAMBA
Author:Auriane Gabaut [aut, cre], Mélanie Prague [aut], Marc Lavielle [aut] (for former code of Rsmlx and connectors)
Maintainer:Auriane Gabaut <auriane.gabaut at inria.fr>
License:GPL (≥ 3)
NeedsCompilation:no
SystemRequirements:'Monolix'(<https://monolixsuite.slp-software.com/monolix/2024R1/>)
Materials:README
CRAN checks:LSAMBA results

Documentation:

Reference manual:LSAMBA.html ,LSAMBA.pdf

Downloads:

Package source: LSAMBA_2024.1.0.tar.gz
Windows binaries: r-devel:LSAMBA_2024.1.0.zip, r-release:LSAMBA_2024.1.0.zip, r-oldrel:LSAMBA_2024.1.0.zip
macOS binaries: r-release (arm64):LSAMBA_2024.1.0.tgz, r-oldrel (arm64):LSAMBA_2024.1.0.tgz, r-release (x86_64):LSAMBA_2024.1.0.tgz, r-oldrel (x86_64):LSAMBA_2024.1.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=LSAMBAto link to this page.


[8]ページ先頭

©2009-2025 Movatter.jp