Genomic Prediction of Cross Performance [R package gpcp version 0.1.0]

gpcp: Genomic Prediction of Cross Performance

This function performs genomic prediction of cross performance using genotype and phenotype data. It processes data in several steps including loading necessary software, converting genotype data, processing phenotype data, fitting mixed models, and predicting cross performance based on weighted marker effects. For more information, see Labroo et al. (2023) <doi:10.1007/s00122-023-04377-z>.

Version: 0.1.0

Depends: R (≥ 2.10)

Imports: BiocManager, Rcpp, dplyr, sommer, AGHmatrix, snpStats, VariantAnnotation, tools, magrittr, methods

LinkingTo: Rcpp, RcppArmadillo

Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)

Published: 2024年11月06日

DOI: 10.32614/CRAN.package.gpcp

Author: Marlee Labroo [aut], Christine Nyaga [cre, aut], Lukas Mueller [aut]

Maintainer: Christine Nyaga <cmn92 at cornell.edu>

License: GPL (≥ 3)

NeedsCompilation: yes

Materials: README

CRAN checks: gpcp results

Documentation:

Reference manual: gpcp.html , gpcp.pdf

Vignettes: Genomic Prediction of Cross Performance with gpcp (source)

Downloads:

Package source: gpcp_0.1.0.tar.gz

Windows binaries: r-devel: gpcp_0.1.0.zip, r-release: gpcp_0.1.0.zip, r-oldrel: gpcp_0.1.0.zip

macOS binaries: r-release (arm64): gpcp_0.1.0.tgz, r-oldrel (arm64): gpcp_0.1.0.tgz, r-release (x86_64): gpcp_0.1.0.tgz, r-oldrel (x86_64): gpcp_0.1.0.tgz

Linking:

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