Genomic Prediction of Hybrid Performance
Overview
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>).
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- NOTE12 OK, 1 NOTE2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 12
- Examples that run
- 44%4 run in a plain check · 5 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 25%
Downloads
Dependencies
Installing predhy adds 15 packages (9 with compiled code, 26 MB of source tarballs). Heaviest: data.table 5.7 MB, BGLR 4.7 MB, pls 4.2 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 2.1.3Latest
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 2.1.22025-04-06 · diff ↗
- 2.1.12024-05-23 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 2.1.02024-03-29 · diff ↗
- 2.0.12024-02-25 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 1.2.1
- RR 4.2.0 released · 2022-04-22
- 1.2.0
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.2.02020-03-20 · diff ↗
- 0.1.02019-11-04
Show 1 earlier eventHide 1 earlier event
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-11-04
- Total releases
- 9 / 7 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 672 KB / 3 files
- Download size
- 686 KB
Cite
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