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:	2024-11-06
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.pdf
Vignettes:	Genomic Prediction of Cross Performance with gpcp (source)

Downloads:

Package source:	gpcp_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): gpcp_0.1.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): gpcp_0.1.0.tgz, r-oldrel (x86_64): gpcp_0.1.0.tgz

Linking:

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