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:

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

Downloads:

Package source:	LMMsolver_1.0.12.tar.gz
Windows binaries:	r-devel: LMMsolver_1.0.12.zip, r-release: LMMsolver_1.0.12.zip, r-oldrel: LMMsolver_1.0.12.zip
macOS binaries:	r-release (arm64): LMMsolver_1.0.12.tgz, r-oldrel (arm64): LMMsolver_1.0.12.tgz, r-release (x86_64): LMMsolver_1.0.12.tgz, r-oldrel (x86_64): LMMsolver_1.0.12.tgz
Old sources:	LMMsolver archive

Reverse dependencies:

Reverse imports:

statgenGWAS, statgenHTP, statgenMPP, TwoTimeScales

Linking:

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