Provides tools for fitting linear mixed models using sparse matrix
methods and variance component estimation. Applications include spline-based
modeling of spatial and temporal trends using penalized splines (Boer, 2023)
<doi:10.1177/1471082X231178591>.
| Version: |
1.0.12 |
| Depends: |
R (≥ 3.6) |
| Imports: |
Matrix, methods, Rcpp (≥ 0.10.4), spam, splines |
| LinkingTo: |
Rcpp |
| Suggests: |
rmarkdown, knitr, tinytest, tidyr, ggplot2, maps, sf |
| Published: |
2025-12-05 |
| DOI: |
10.32614/CRAN.package.LMMsolver |
| Author: |
Martin Boer  [aut],
Bart-Jan van Rossum
[aut, cre] |
| Maintainer: |
Bart-Jan van Rossum <bart-jan.vanrossum at wur.nl> |
| BugReports: |
https://github.com/Biometris/LMMsolver/issues |
| License: |
GPL-3 |
| URL: |
https://biometris.github.io/LMMsolver/index.html,
https://github.com/Biometris/LMMsolver/ |
| NeedsCompilation: |
yes |
| Citation: |
LMMsolver citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
LMMsolver results |