CRAN/E | predhy.GUI

predhy.GUI

Genomic Prediction of Hybrid Performance with Graphical User Interface

Installation

About

Performs genomic prediction of hybrid performance using eight GS methods including GBLUP, BayesB, RKHS, PLS, LASSO, Elastic net, Random forest and XGBoost. GBLUP: genomic best liner unbiased prediction, RKHS: reproducing kernel Hilbert space, PLS: partial least squares regression, LASSO: least absolute shrinkage and selection operator, XGBoost: extreme gradient boosting. 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 1.0
R ≥ 4.1.0
Published 2023-02-21 432 days ago
Needs compilation? no
License GPL-3
CRAN checks predhy.GUI results

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Maintainer

Maintainer

Yuxiang Zhang

yuxiangzhang_99@foxmail.com

Authors

Yang Xu

aut

Guangning Yu

aut

Yuxiang Zhang

aut / cre

Yanru Cui

ctb

Shizhong Xu

ctb

Chenwu Xu

ctb

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 4.1.0

Imports

shiny
data.table
DT
predhy ≥ 1.2.1
BGLR
pls
glmnet
randomForest
xgboost
foreach
doParallel
parallel
htmltools