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: 1.0.6
Depends: R (≥ 3.6)
Imports: agridat, ggplot2, maps, Matrix, methods, Rcpp (≥ 0.10.4), sf, spam, splines
LinkingTo: Rcpp
Suggests: rmarkdown, knitr, tinytest
Published: 2023-11-27
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-2 | GPL-3 [expanded from: GPL]
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.pdf
Vignettes: Solving Linear Mixed Models using LMMsolver

Downloads:

Package source: LMMsolver_1.0.6.tar.gz
Windows binaries: r-devel: LMMsolver_1.0.6.zip, r-release: LMMsolver_1.0.6.zip, r-oldrel: LMMsolver_1.0.6.zip
macOS binaries: r-release (arm64): LMMsolver_1.0.6.tgz, r-oldrel (arm64): LMMsolver_1.0.6.tgz, r-release (x86_64): LMMsolver_1.0.6.tgz
Old sources: LMMsolver archive

Reverse dependencies:

Reverse imports: statgenHTP, statgenMPP

Linking:

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