predhy: Genomic Prediction of Hybrid Performance
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 formhttps://CRAN.R-project.org/package=predhyto link to this page.