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-4.4-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'))

Peer review:

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

On CRAN:

3.00 score 1 scripts 422 downloads 1 exports 89 dependencies

Last updated 4 months agofrom:1d834e19d3. Checks:1 OK, 5 ERROR. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 06 2025
R-4.5-winERRORJan 08 2025
R-4.5-linuxERRORJan 08 2025
R-4.4-winERRORJan 08 2025
R-4.4-macERRORJan 08 2025
R-4.3-winERRORDec 07 2024

Exports:runGPCP

Dependencies:abindAGHmatrixAnnotationDbiaskpassBHBiobaseBiocGenericsBiocIOBiocManagerBiocParallelBiostringsbitbit64bitopsblobBSgenomecachemclicodetoolscpp11crayoncurlDBIDelayedArraydplyrfansifastmapformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicFeaturesGenomicRangesgluehttrIRangesjsonliteKEGGRESTlambda.rlatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemimeopensslpillarpkgconfigplogrpngR6RcppRcppArmadilloRcppProgressRCurlrestfulrRhtslibrjsonrlangRsamtoolsRSQLitertracklayerS4ArraysS4VectorssnowsnpStatssommerSparseArraySummarizedExperimentsurvivalsystibbletidyselectUCSC.utilsutf8VariantAnnotationvctrswithrXMLXVectoryamlzlibbioczoo