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LMMsolver: Linear Mixed Models with Sparse Matrix Methods and Smoothing
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 |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=LMMsolver
to link to this page.
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.
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