Package: predhy 2.1.1

predhy: Genomic Prediction of Hybrid Performance

Performs genomic prediction of hybrid performance using eight GS methods including GBLUP, BayesB, RKHS, PLS, LASSO, Elastic net, LightGBM and XGBoost. It also provides fast cross-validation and mating design scheme for training population (Xu S et al (2016) <doi:10.1111/tpj.13242>; Xu S (2017) <doi:10.1534/g3.116.038059>).

Authors:Yang Xu, Guangning Yu, Yanru Cui, Shizhong Xu, Chenwu Xu

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predhy.pdf |predhy.html✨
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9 exports 1 stars 0.82 score 20 dependencies 1 dependents 276 downloads

Last updated 4 months agofrom:6e53c6359f. Checks:OK: 7. Indexed: yes.

Exports:convertgencrodesigncvcv_fastinfergenkinmixedpredhy.predictpredhy.predict_NCII

Dependencies:BGLRcodetoolsdata.tabledoParallelforeachglmnetiteratorsjsonlitelatticelightgbmMASSMatrixplsR6RcppRcppEigenshapesurvivaltruncnormxgboost