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 1 exports 89 dependencies

Last updated 2 months agofrom:1d834e19d3. Checks:OK: 1 ERROR: 5. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-winERRORNov 07 2024
R-4.5-linuxERRORNov 07 2024
R-4.4-winERRORNov 07 2024
R-4.4-macERRORNov 07 2024
R-4.3-winERRORNov 07 2024

Exports:runGPCP

Dependencies:abindAGHmatrixAnnotationDbiaskpassBHBiobaseBiocGenericsBiocIOBiocManagerBiocParallelBiostringsbitbit64bitopsblobBSgenomecachemclicodetoolscpp11crayoncurlDBIDelayedArraydplyrfansifastmapformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicFeaturesGenomicRangesgluehttrIRangesjsonliteKEGGRESTlambda.rlatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemimeopensslpillarpkgconfigplogrpngR6RcppRcppArmadilloRcppProgressRCurlrestfulrRhtslibrjsonrlangRsamtoolsRSQLitertracklayerS4ArraysS4VectorssnowsnpStatssommerSparseArraySummarizedExperimentsurvivalsystibbletidyselectUCSC.utilsutf8VariantAnnotationvctrswithrXMLXVectoryamlzlibbioczoo