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predhy.GUI  

Genomic Prediction of Hybrid Performance with Graphical User Interface
View on CRAN: Click here


Download and install predhy.GUI package within the R console
Install from CRAN:
install.packages("predhy.GUI")

Install from Github:
library("remotes")
install_github("cran/predhy.GUI")

Install by package version:
library("remotes")
install_version("predhy.GUI", "2.0.1")



Attach the package and use:
library("predhy.GUI")
Maintained by
Yuxiang Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-02-21
Latest Update: 2023-02-21
Description:
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) ; Xu S (2017) ).
How to cite:
Yuxiang Zhang (2023). predhy.GUI: Genomic Prediction of Hybrid Performance with Graphical User Interface. R package version 2.0.1, https://cran.r-project.org/web/packages/predhy.GUI. Accessed 07 Nov. 2024.
Previous versions and publish date:
1.0 (2023-02-21 12:40), 2.0 (2024-05-27 10:20)
Other packages that cited predhy.GUI R package
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Other R packages that predhy.GUI depends, imports, suggests or enhances
Complete documentation for predhy.GUI
Functions, R codes and Examples using the predhy.GUI R package
Some associated functions: hybrid_phe . input_geno . input_geno1 . predhy.GUI . 
Some associated R codes: hybrid_phe.R . import_packages.R . input_geno.R . input_geno1.R . predhy.GUI.R .  Full predhy.GUI package functions and examples
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