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REMixed: Regularized Estimation in Mixed Effect Model

Implementation of an algorithm in two steps to estimate parameters of a model whose latent dynamics are inferred through latent processes, jointly regularized. This package uses 'Monolix' software (<https://monolixsuite.slp-software.com/>), which provide robust statistical method for non-linear mixed effects modeling. 'Monolix' must have been installed prior to use.

Version: 0.1.0
Depends: R (≥ 3.5.0), foreach
Imports: deSolve, Rsmlx, doSNOW, dplyr, fastGHQuad, ggplot2, snow, stringr, Rmpfr
Published: 2025-06-27
DOI: 10.32614/CRAN.package.REMixed
Author: Auriane Gabaut [aut, cre], Ariane Bercu [aut], Mélanie Prague [aut], Cécile Proust-Lima [aut]
Maintainer: Auriane Gabaut <auriane.gabaut at inria.fr>
License: GPL (≥ 3)
NeedsCompilation: no
SystemRequirements: 'Monolix' (<https://monolixsuite.slp-software.com/>)
CRAN checks: REMixed results

Documentation:

Reference manual: REMixed.pdf

Downloads:

Package source: REMixed_0.1.0.tar.gz
Windows binaries: r-devel: REMixed_0.1.0.zip, r-release: not available, r-oldrel: REMixed_0.1.0.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): REMixed_0.1.0.tgz, r-oldrel (x86_64): REMixed_0.1.0.tgz

Linking:

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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.