CRAN/E | predhy

predhy

Genomic Prediction of Hybrid Performance

Installation

About

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).

Key Metrics

Version 2.1.0
R ≥ 4.1.0
Published 2024-03-29 30 days ago
Needs compilation? no
License GPL-3
CRAN checks predhy results

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Maintainer

Maintainer

Yang Xu

xuyang_89@126.com

Authors

Yang Xu
Guangning Yu
Yanru Cui
Shizhong Xu
Chenwu Xu

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

predhy archive

Depends

R ≥ 4.1.0

Imports

BGLR
pls
glmnet
xgboost
lightgbm
foreach
doParallel
parallel

Reverse Imports

predhy.GUI