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>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.1.2 |
rolling linux/jammy R-4.5 | predhy_2.1.2.tar.gz |
1.1 MiB |
2.1.2 |
rolling linux/noble R-4.5 | predhy_2.1.2.tar.gz |
1.1 MiB |
2.1.2 |
rolling source/ R- | predhy_2.1.2.tar.gz |
684.6 KiB |
2.1.2 |
latest linux/jammy R-4.5 | predhy_2.1.2.tar.gz |
1.1 MiB |
2.1.2 |
latest linux/noble R-4.5 | predhy_2.1.2.tar.gz |
1.1 MiB |
2.1.2 |
latest source/ R- | predhy_2.1.2.tar.gz |
684.6 KiB |
2.1.2 |
2026-04-26 source/ R- | predhy_2.1.2.tar.gz |
684.6 KiB |
2.1.2 |
2026-04-23 source/ R- | predhy_2.1.2.tar.gz |
684.6 KiB |
2.1.2 |
2026-04-09 windows/windows R-4.5 | predhy_2.1.2.zip |
1.2 MiB |
2.1.2 |
2025-04-20 source/ R- | predhy_2.1.2.tar.gz |
684.6 KiB |