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:	1.0.1
Depends:	R (≥ 3.0.0), lme4 (≥ 1.0), Matrix (≥ 1.0), methods, crayon
Suggests:	rmarkdown, knitr, orthopolynom, RSpectra
Published:	2024-05-17
Author:	Giovanny Covarrubias-Pazaran [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_1.0.1.tar.gz
Windows binaries:	r-devel: lme4breeding_1.0.1.zip, r-release: lme4breeding_1.0.1.zip, r-oldrel: lme4breeding_1.0.1.zip
macOS binaries:	r-release (arm64): lme4breeding_1.0.1.tgz, r-oldrel (arm64): lme4breeding_1.0.1.tgz, r-release (x86_64): lme4breeding_1.0.1.tgz, r-oldrel (x86_64): lme4breeding_1.0.1.tgz

Linking:

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