LMMsolver: Linear Mixed Model Solver

An efficient and flexible system to solve sparse mixed model equations. Important applications are the use of splines to model spatial or temporal trends as described in Boer (2023). (<doi:10.1177/1471082X231178591>).

Version: 1.0.11
Depends: R (≥ 3.6)
Imports: Matrix, methods, Rcpp (≥ 0.10.4), spam, splines
LinkingTo: Rcpp
Suggests: rmarkdown, knitr, tinytest, tidyr, agridat, ggplot2, maps, sf
Published: 2025-08-20
Author: Martin Boer ORCID iD [aut], Bart-Jan van Rossum ORCID iD [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:

Reference manual: LMMsolver.html , LMMsolver.pdf
Vignettes: Mixed Models and Smoothing (source, R code)

Downloads:

Package source: LMMsolver_1.0.11.tar.gz
Windows binaries: r-devel: LMMsolver_1.0.10.zip, r-release: LMMsolver_1.0.10.zip, r-oldrel: LMMsolver_1.0.10.zip
macOS binaries: r-release (arm64): LMMsolver_1.0.10.tgz, r-oldrel (arm64): LMMsolver_1.0.10.tgz, r-release (x86_64): LMMsolver_1.0.10.tgz, r-oldrel (x86_64): LMMsolver_1.0.10.tgz
Old sources: LMMsolver archive

Reverse dependencies:

Reverse imports: statgenGWAS, statgenHTP, statgenMPP, TwoTimeScales

Linking:

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