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 |
| Reference manual: | gpcp.html , gpcp.pdf |
| Vignettes: |
Genomic Prediction of Cross Performance with gpcp (source) |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=gpcp to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.