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predhy  

Genomic Prediction of Hybrid Performance
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("predhy", "2.1.3")



Attach the package and use:
library("predhy")
Maintained by
Yang Xu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-04
Latest Update: 2025-04-06
Description:
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) ; Xu S (2017) ).
How to cite:
Yang Xu (2019). predhy: Genomic Prediction of Hybrid Performance. R package version 2.1.3, https://cran.r-project.org/web/packages/predhy. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-09-21 11:20), 0.1.0 (2019-11-04 17:30), 0.2.0 (2020-03-20 12:30), 1.2.0 (2021-08-16 18:40), 1.2.1 (2022-11-08 11:40), 2.0.1 (2024-02-25 00:40), 2.1.0 (2024-03-29 06:00), 2.1.1 (2024-05-23 17:20), 2.1.2 (2025-04-06 04:50)
Other packages that cited predhy R package
View predhy citation profile
Other R packages that predhy depends, imports, suggests or enhances
Complete documentation for predhy
Functions, R codes and Examples using the predhy R package
Some associated functions: convertgen . crodesign . cv . cv_fast . hybrid_phe . infergen . input_geno . input_geno1 . kin . mixed . predhy.predict . predhy.predict_NCII . 
Some associated R codes: convertgen.R . crodesign.R . cv.R . cv_fast.R . hybrid.predict_NCII.R . hybrid_phe.R . import_packages.R . infergen.R . input_geno.R . input_geno1.R . kin.R . mixed.R . predhy.predict.R .  Full predhy package functions and examples
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