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

Documentation:

Reference manual:

predhy.html , predhy.pdf

Downloads:

Package source:	predhy_2.1.2.tar.gz
Windows binaries:	r-devel: predhy_2.1.2.zip, r-release: predhy_2.1.2.zip, r-oldrel: predhy_2.1.2.zip
macOS binaries:	r-release (arm64): predhy_2.1.2.tgz, r-oldrel (arm64): predhy_2.1.2.tgz, r-release (x86_64): predhy_2.1.2.tgz, r-oldrel (x86_64): predhy_2.1.2.tgz
Old sources:	predhy archive

Reverse dependencies:

Reverse imports:

predhy.GUI

Linking:

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