Package: LSAMBA 2024.1.1

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.

Authors:Auriane Gabaut [aut, cre], Mélanie Prague [aut], Marc Lavielle [aut]

LSAMBA_2024.1.1.tar.gz
LSAMBA_2024.1.1.zip(r-4.7)LSAMBA_2024.1.1.zip(r-4.6)LSAMBA_2024.1.1.zip(r-4.5)
LSAMBA_2024.1.1.tgz(r-4.6-any)LSAMBA_2024.1.1.tgz(r-4.5-any)
LSAMBA_2024.1.1.tar.gz(r-4.7-any)LSAMBA_2024.1.1.tar.gz(r-4.6-any)
LSAMBA_2024.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
LSAMBA/json (API)

# Install 'LSAMBA' in R:

install.packages('LSAMBA', repos = c('https://aurianegbt.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/aurianegbt/lsamba/issues

On CRAN:

2.70 score 1 scripts 213 downloads 2 exports 62 dependencies

Last updated from:748e140457. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	139
source / vignettes	OK	204
linux-release-x86_64	NOTE	143
macos-release-arm64	NOTE	150
macos-oldrel-arm64	NOTE	217
windows-devel	NOTE	94
windows-release	NOTE	98
windows-oldrel	NOTE	90
wasm-release	OK	115