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 |
Reference manual: | LSAMBA.pdf |
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 |
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