Package: predhy 2.1.3

predhy: Genomic Prediction of Hybrid Performance

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>).

Authors:Yang Xu [aut, cre], Guangning Yu [aut], Yanru Cui [aut], Shizhong Xu [aut], Chenwu Xu [aut]

predhy_2.1.3.tar.gz
predhy_2.1.3.zip(r-4.7-any)predhy_2.1.3.zip(r-4.6-any)predhy_2.1.3.zip(r-4.5-any)
predhy_2.1.3.tgz(r-4.6-any)predhy_2.1.3.tgz(r-4.5-any)
predhy_2.1.3.tar.gz(r-4.7-any)predhy_2.1.3.tar.gz(r-4.6-any)
predhy_2.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
predhy/json (API)

# Install 'predhy' in R:
install.packages('predhy', repos = c('https://yangxu89.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.78 score 2 stars 1 packages 270 downloads 9 exports 20 dependencies

Last updated from:e691464555. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK190
source / vignettesOK212
linux-releaseOK161
macos-releaseOK153
macos-oldrelOK199
windows-develOK95
windows-releaseOK88
windows-oldrelOK90
wasm-releaseOK133

Exports:convertgencrodesigncvcv_fastinfergenkinmixedpredhy.predictpredhy.predict_NCII

Dependencies:BGLRcodetoolsdata.tabledoParallelforeachglmnetiteratorsjsonlitelatticelightgbmMASSMatrixplsR6RcppRcppEigenshapesurvivaltruncnormxgboost