Performs genomic prediction of hybrid performance using eight statistical methods including GBLUP, BayesB, RKHS, PLS, LASSO, EN, LightGBM and XGBoost along with additive and additive-dominance models. Users are able to incorporate parental phenotypic information in all methods based on their specific needs. (Xu S et al(2017) <doi:10.1534/g3.116.038059>; Xu Y et al (2021) <doi:10.1111/pbi.13458>).
Version: 2.1.2 Depends: R (≥ 4.1.0) Imports: BGLR, pls, glmnet, xgboost, lightgbm, foreach, doParallel, parallel Published: 2025-04-06 DOI: 10.32614/CRAN.package.predhy Author: Yang Xu [aut, cre], Guangning Yu [aut], Yanru Cui [aut], Shizhong Xu [aut], Chenwu Xu [aut] Maintainer: Yang Xu <xuyang_89 at 126.com> License: GPL-3 NeedsCompilation: no CRAN checks: predhy results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=predhy to link to this page.
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