# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "GSbench" in publications use:' type: software license: MIT title: 'GSbench: Benchmarking Genomic Selection and Machine-Learning Prediction Models' version: 0.1.0 abstract: 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) ; the mixed-model solver follows Endelman (2011) ; the genomic-selection framework follows Meuwissen, Hayes and Goddard (2001) . authors: - family-names: Farooqi given-names: Muhammad email: mqfarooqi@gmail.com preferred-citation: type: manual title: 'GSbench: Benchmarking Genomic Selection and Machine-Learning Prediction Models' authors: - family-names: Farooqi given-names: Muhammad email: mqfarooqi@gmail.com year: '2026' notes: R package version 0.1.0 url: https://github.com/mqfarooqi1/GSbench repository: https://mqfarooqi1.r-universe.dev repository-code: https://github.com/mqfarooqi1/GSbench commit: fd122df38dd03d704f25164287277dff83c33e89 url: https://mqfarooqi1.github.io/GSbench/ date-released: '2026-06-25' contact: - family-names: Farooqi given-names: Muhammad email: mqfarooqi@gmail.com