Linear Mixed Model Solver [R package LMMsolver version 1.0.11]

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年08月20日

DOI: 10.32614/CRAN.package.LMMsolver

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_1.0.11.zip, r-release: LMMsolver_1.0.11.zip, r-oldrel: LMMsolver_1.0.11.zip

macOS binaries: r-release (arm64): LMMsolver_1.0.11.tgz, r-oldrel (arm64): LMMsolver_1.0.11.tgz, r-release (x86_64): LMMsolver_1.0.11.tgz, r-oldrel (x86_64): LMMsolver_1.0.11.tgz

Old sources: LMMsolver archive

Reverse dependencies:

Reverse imports: statgenGWAS, statgenHTP, statgenMPP, TwoTimeScales

Linking:

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