Package: gpcp 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.

Authors:Marlee Labroo, Christine Nyaga, Lukas Mueller

gpcp_0.1.0.tar.gz
gpcp_0.1.0.zip(r-4.5)gpcp_0.1.0.zip(r-4.4)gpcp_0.1.0.zip(r-4.3)
gpcp_0.1.0.tgz(r-4.5-any)gpcp_0.1.0.tgz(r-4.4-any)
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://cmn92.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cmn92/gpcp/issues

On CRAN:

Conda:

3.00 score 1 scripts 517 downloads 1 exports 89 dependencies

Last updated 5 months agofrom:1d834e19d3. Checks:1 OK, 7 ERROR. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 07 2025
R-4.5-winERRORMar 07 2025
R-4.5-macERRORMar 07 2025
R-4.5-linuxERRORMar 07 2025
R-4.4-winERRORMar 07 2025
R-4.4-macERRORMar 07 2025
R-4.4-linuxERRORMar 07 2025
R-4.3-winERRORDec 07 2024

Exports:runGPCP

Dependencies:abindAGHmatrixAnnotationDbiaskpassBHBiobaseBiocGenericsBiocIOBiocManagerBiocParallelBiostringsbitbit64bitopsblobBSgenomecachemclicodetoolscpp11crayoncurlDBIDelayedArraydplyrfansifastmapformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicFeaturesGenomicRangesgluehttrIRangesjsonliteKEGGRESTlambda.rlatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemimeopensslpillarpkgconfigplogrpngR6RcppRcppArmadilloRcppProgressRCurlrestfulrRhtslibrjsonrlangRsamtoolsRSQLitertracklayerS4ArraysS4VectorssnowsnpStatssommerSparseArraySummarizedExperimentsurvivalsystibbletidyselectUCSC.utilsutf8VariantAnnotationvctrswithrXMLXVectoryamlzlibbioczoo