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lme4GS  

'lme4' for Genomic Selection
View on CRAN: Click here


Download and install lme4GS package within the R console
Install from CRAN:
install.packages("lme4GS")

Install from Github:
library("remotes")
install_github("cran/lme4GS")

Install by package version:
library("remotes")
install_version("lme4GS", "0.1")



Attach the package and use:
library("lme4GS")
Maintained by
Paulino Perez Rodriguez
[Scholar Profile | Author Map]
First Published: 2025-04-08
Latest Update: 2025-04-08
Description:
Flexible functions that use 'lme4' as computational engine for fitting models used in Genomic Selection (GS). GS is a technology used for genetic improvement, and it has many advantages over phenotype-based selection. There are several statistical models that adequately approach the statistical challenges in GS, such as in linear mixed models (LMMs). The 'lme4' is the standard package for fitting linear and generalized LMMs in the R-package, but its use for genetic analysis is limited because it does not allow the correlation between individuals or groups of individuals to be defined. The 'lme4GS' package is focused on fitting LMMs with covariance structures defined by the user, bandwidth selection, and genomic prediction. The new package is focused on genomic prediction of the models used in GS and can fit LMMs using different variance-covariance matrices. Several examples of GS models are presented using this package as well as the analysis using real data. For more details see Caamal-Pat et.al. (2021) <doi:10.3389/fgene.2021.680569>.
How to cite:
Paulino Perez Rodriguez (2025). lme4GS: 'lme4' for Genomic Selection. R package version 0.1, https://cran.r-project.org/web/packages/lme4GS. Accessed 09 May. 2025.
Previous versions and publish date:
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