Package: GSbench
Title: Benchmarking Genomic Selection and Machine-Learning Prediction
        Models
Version: 0.1.0
Authors@R: 
    person("Muhammad", "Farooqi", email = "mqfarooqi@gmail.com",
           role = c("aut", "cre"))
Description: A unified interface to fit, cross-validate and benchmark genomic
    prediction models from SNP marker data. It implements genomic best linear
    unbiased prediction (GBLUP) and ridge-regression BLUP in base R, and offers
    a common interface to machine-learning predictors (elastic net, random
    forest and gradient boosting) through optional packages, together with a
    stacked ensemble. Cross-validation uses breeding-relevant schemes and
    reports prediction accuracy honestly, so models can be compared fairly. The
    genomic relationship matrix follows VanRaden (2008)
    <doi:10.3168/jds.2007-0980>; the mixed-model solver follows Endelman (2011)
    <doi:10.3835/plantgenome2011.08.0024>; the genomic-selection framework
    follows Meuwissen, Hayes and Goddard (2001) <doi:10.1093/genetics/157.4.1819>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: graphics, stats, withr
Suggests: rrBLUP, glmnet, ranger, xgboost, testthat (>= 3.0.0), knitr,
        rmarkdown, spelling
VignetteBuilder: knitr
URL: https://github.com/mqfarooqi1/GSbench
BugReports: https://github.com/mqfarooqi1/GSbench/issues
Config/testthat/edition: 3
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-06-24 13:09:50 UTC; faroo
Author: Muhammad Farooqi [aut, cre]
Maintainer: Muhammad Farooqi <mqfarooqi@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-30 11:40:02 UTC
Built: R 4.5.2; ; 2026-06-30 16:16:44 UTC; unix
