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lme4GS

0.1

'lme4' for Genomic Selection

0packages depend
2.2Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Paulino Perez RodriguezFirst published 2025-04-081 releasesCRAN page ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 1.9 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
3
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
20%
Documented parameters
83%
Return-value docs
100%
References docs
33%

Downloads

2.2K
CRAN downloads in the past year
Rank #20,638 · ~6/day · ~183/mo
Daily download trend is not available in this view yet.
12830 days
53990 days
2.2K1 year
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Also on112 r2u25 autocran

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (4)
R >= 3.6.3lme4methodsMatrix
Imports (0)
none
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (2)
Contributors (1)
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-04-08
Total releases
1 / 1 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.6.3
Bundled data
167 KB / 2 files
Download size
181 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("lme4GS")
Perez Rodriguez, P., Caamal Pat, D. Y., & Suarez Sanchez, E. J. (2025). lme4GS: 'lme4' for Genomic Selection (Version 0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.lme4GS

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for lme4GS version 0.1 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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