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 |
| 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 |
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