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predhy

Genomic Prediction of Hybrid Performance

v2.1.2 · Apr 5, 2025 · GPL-3

Description

Performs genomic prediction of hybrid performance using eight statistical methods including GBLUP, BayesB, RKHS, PLS, LASSO, EN, LightGBM and XGBoost along with additive and additive-dominance models. Users are able to incorporate parental phenotypic information in all methods based on their specific needs. (Xu S et al(2017) <doi:10.1534/g3.116.038059>; Xu Y et al (2021) <doi: 10.1111/pbi.13458>).

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CRAN Check Status

14 OK
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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Reverse Dependencies (1)

imports

Dependency Network

Dependencies Reverse dependencies BGLR pls glmnet xgboost lightgbm foreach doParallel predhy.GUI predhy

Version History

new 2.1.2 Mar 10, 2026
updated 2.1.2 ← 2.1.1 diff Apr 5, 2025
updated 2.1.1 ← 2.1.0 diff May 22, 2024
updated 2.1.0 ← 2.0.1 diff Mar 28, 2024
updated 2.0.1 ← 1.2.1 diff Feb 24, 2024
updated 1.2.1 ← 1.2.0 diff Nov 7, 2022
updated 1.2.0 ← 0.2.0 diff Aug 15, 2021
updated 0.2.0 ← 0.1.0 diff Mar 19, 2020
new 0.1.0 Nov 3, 2019