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 |
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