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 |