Nothing
predhy: Genomic Prediction of Hybrid Performance
Performs genomic prediction of hybrid performance using eight GS methods including GBLUP, BayesB, RKHS, PLS, LASSO, Elastic net, Random forest 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>).
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Yang Xu, Guangning Yu, Yanru Cui, Shizhong Xu, Chenwu Xu |
| Maintainer | Yang Xu <xuyang_89@126.com> |
| License | GPL-3 |
| Version | 1.2.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the predhy package in your browser
Any scripts or data that you put into this service are public.
