LMMsolver: Linear Mixed Model Solver

An efficient and flexible system to solve sparse mixed model equations, for models that are often used in statistical genetics. Important applications are the use of splines to model spatial or temporal trends. Another application area is mixed model QTL analysis for multiparental populations, allowing for heterogeneous residual variance and random design matrices with Identity-By-Descent (IBD) probabilities.

Version: 1.0.0
Depends: R (≥ 3.6)
Imports: agridat, ggplot2, maps, Matrix, methods, Rcpp (≥ 0.10.4), sp, spam, splines
LinkingTo: Rcpp
Suggests: rmarkdown, knitr, tinytest
Published: 2021-11-02
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>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: LMMsolver results

Documentation:

Reference manual: LMMsolver.pdf
Vignettes: Solving Linear Mixed Models using LMMsolver

Downloads:

Package source: LMMsolver_1.0.0.tar.gz
Windows binaries: r-devel: LMMsolver_1.0.0.zip, r-devel-UCRT: LMMsolver_1.0.0.zip, r-release: LMMsolver_1.0.0.zip, r-oldrel: LMMsolver_1.0.0.zip
macOS binaries: r-release (arm64): LMMsolver_1.0.0.tgz, r-release (x86_64): LMMsolver_1.0.0.tgz, r-oldrel: LMMsolver_1.0.0.tgz

Linking:

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