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) ; Xu Y et al (2021) ).


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("predhy")

2.1.3 by Yang Xu, 20 days ago


Browse source code at https://github.com/cran/predhy


Authors: Yang Xu [aut, cre] , Guangning Yu [aut] , Yanru Cui [aut] , Shizhong Xu [aut] , Chenwu Xu [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports BGLR, pls, glmnet, xgboost, lightgbm, foreach, doParallel, parallel


Imported by predhy.GUI.


See at CRAN