Package: predhy.GUI
Type: Package
Title: Genomic Prediction of Hybrid Performance with Graphical User
        Interface
Version: 2.1.1
Authors@R: 
     c(
     person("Yang","Xu",email="xuyang_89@126.com",role=c("aut")),
     person("Guangning","Yu",role=c("aut")),
     person("Yuxiang","Zhang",email="yuxiangzhang_99@foxmail.com",role=c("aut","cre")),
     person("Yanru","Cui",role=c("ctb")),
     person("Shizhong","Xu",role=c("ctb")),
     person("Chenwu","Xu",role=c("ctb")))
Description: Performs genomic prediction of hybrid performance using eight GS methods including GBLUP, BayesB, RKHS, PLS, LASSO, Elastic net, XGBoost and LightGBM.
             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, LightGBM: light gradient boosting machine.
             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>).
			 A complete manual for this package is provided in the manual folder of the package installation directory. 
			 You can locate the manual by running the following command in R: system.file("manual", package = "predhy.GUI").
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
Depends: R (>= 4.1.0)
Imports: shiny, data.table, DT, predhy(>= 2.1.2), BGLR, pls, glmnet,
        xgboost, lightgbm, foreach, doParallel, parallel, htmltools
NeedsCompilation: no
Packaged: 2025-11-01 03:26:24 UTC; YuxiangZhang
Repository: CRAN
Date/Publication: 2025-11-03 16:10:02 UTC
Author: Yang Xu [aut],
  Guangning Yu [aut],
  Yuxiang Zhang [aut, cre],
  Yanru Cui [ctb],
  Shizhong Xu [ctb],
  Chenwu Xu [ctb]
Maintainer: Yuxiang Zhang <yuxiangzhang_99@foxmail.com>
Built: R 4.6.0; ; 2026-03-26 04:40:45 UTC; windows
