Estimates generalized additive latent and
mixed models using maximum marginal likelihood,
as defined in Sorensen et al. (2023)
<doi:10.1007/s11336-023-09910-z>, which is an extension of Rabe-Hesketh and
Skrondal (2004)'s unifying framework for multilevel latent variable
modeling <doi:10.1007/BF02295939>. Efficient computation is done using sparse
matrix methods, Laplace approximation, and automatic differentiation. The
framework includes generalized multilevel models with heteroscedastic
residuals, mixed response types, factor loadings, smoothing splines,
crossed random effects, and combinations thereof. Syntax for model
formulation is close to 'lme4' (Bates et al. (2015)
<doi:10.18637/jss.v067.i01>) and 'PLmixed' (Rockwood and Jeon (2019)
<doi:10.1080/00273171.2018.1516541>).
| Version: |
0.4.1 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
gratia, lattice, lme4, Matrix, memoise, methods, mgcv, nlme, Rcpp, Rdpack, reformulas, stats |
| LinkingTo: |
Rcpp, RcppEigen |
| Suggests: |
covr, gamm4, knitr, PLmixed, rlang, rmarkdown, testthat (≥
3.0.0) |
| Published: |
2026-08-31 |
| DOI: |
10.32614/CRAN.package.galamm |
| Author: |
Øystein Sørensen 
[aut, cre],
Douglas Bates [ctb],
Ben Bolker [ctb],
Martin Maechler [ctb],
Allan Leal [ctb],
Fabian Scheipl [ctb],
Steven Walker [ctb],
Simon Wood [ctb] |
| Maintainer: |
Øystein Sørensen <oystein.sorensen at psykologi.uio.no> |
| BugReports: |
https://github.com/ropensci/galamm/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://docs.ropensci.org/galamm/,
https://github.com/ropensci/galamm |
| NeedsCompilation: |
yes |
| SystemRequirements: |
C++17 |
| Citation: |
galamm citation info |
| Materials: |
README, NEWS |
| In views: |
MixedModels |
| CRAN checks: |
galamm results |