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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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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
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Check History

OK 13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 9, 2026
NOTE 12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 8, 2026
NOTE r-devel-linux-x86_64-debian-gcc

R code for possible problems

Fatal error: cannot create 'R_TempDir'
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

9 tracked
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