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lme4breeding: Relationship-Based Mixed-Effects Models

Fit relationship-based and customized mixed-effects models with complex variance-covariance structures using the 'lme4' machinery. The core computational algorithms are implemented using the 'Eigen' 'C++' library for numerical linear algebra and 'RcppEigen' 'glue'.

Version: 1.0.22
Depends: R (≥ 3.0.0), lme4 (≥ 1.0), Matrix (≥ 1.0), methods, crayon
Suggests: rmarkdown, knitr, orthopolynom, RSpectra
Published: 2024-06-27
DOI: 10.32614/CRAN.package.lme4breeding
Author: Giovanny Covarrubias-Pazaran ORCID iD [aut, cre]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber at live.com.mx>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: lme4breeding citation info
Materials: ChangeLog
CRAN checks: lme4breeding results

Documentation:

Reference manual: lme4breeding.pdf
Vignettes: GxE models in lme4breeding
Quantitative genetics using the lme4breeding package

Downloads:

Package source: lme4breeding_1.0.22.tar.gz
Windows binaries: r-devel: lme4breeding_1.0.22.zip, r-release: lme4breeding_1.0.22.zip, r-oldrel: lme4breeding_1.0.22.zip
macOS binaries: r-release (arm64): lme4breeding_1.0.22.tgz, r-oldrel (arm64): lme4breeding_1.0.22.tgz, r-release (x86_64): lme4breeding_1.0.22.tgz, r-oldrel (x86_64): lme4breeding_1.0.22.tgz
Old sources: lme4breeding archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.