Package: gpcp 0.1.0
Christine Nyaga
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>.
Authors:
gpcp_0.1.0.tar.gz
gpcp_0.1.0.tar.gz(r-4.5-noble)gpcp_0.1.0.tar.gz(r-4.4-noble)
gpcp_0.1.0.tgz(r-4.4-emscripten)gpcp_0.1.0.tgz(r-4.3-emscripten)
gpcp.pdf |gpcp.html✨
gpcp/json (API)
| # Install 'gpcp' in R: |
| install.packages('gpcp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- phenotypeFile - Example Phenotype Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 months agofrom:18d39d6790. Checks:1 OK, 2 NOTE. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 07 2025 |
| R-4.5-linux-x86_64 | NOTE | Mar 07 2025 |
| R-4.4-linux-x86_64 | NOTE | Mar 07 2025 |
Exports:runGPCP
Dependencies:abindAGHmatrixAnnotationDbiaskpassBHBiobaseBiocGenericsBiocIOBiocManagerBiocParallelBiostringsbitbit64bitopsblobBSgenomecachemclicodetoolscpp11crayoncurlDBIDelayedArraydplyrfansifastmapformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicFeaturesGenomicRangesgluehttrIRangesjsonliteKEGGRESTlambda.rlatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemimeopensslpillarpkgconfigplogrpngR6RcppRcppArmadilloRcppProgressRCurlrestfulrRhtslibrjsonrlangRsamtoolsRSQLitertracklayerS4ArraysS4VectorssnowsnpStatssommerSparseArraySummarizedExperimentsurvivalsystibbletidyselectUCSC.utilsutf8VariantAnnotationvctrswithrXMLXVectoryamlzlibbioczoo
