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:Marlee Labroo [aut], Christine Nyaga [cre, aut], Lukas Mueller [aut]

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'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 1 scripts 1 exports 89 dependencies

Last updated 16 days agofrom:18d39d6790. Checks:OK: 1 WARNING: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-linux-x86_64WARNINGNov 07 2024

Exports:runGPCP

Dependencies:abindAGHmatrixAnnotationDbiaskpassBHBiobaseBiocGenericsBiocIOBiocManagerBiocParallelBiostringsbitbit64bitopsblobBSgenomecachemclicodetoolscpp11crayoncurlDBIDelayedArraydplyrfansifastmapformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicFeaturesGenomicRangesgluehttrIRangesjsonliteKEGGRESTlambda.rlatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemimeopensslpillarpkgconfigplogrpngR6RcppRcppArmadilloRcppProgressRCurlrestfulrRhtslibrjsonrlangRsamtoolsRSQLitertracklayerS4ArraysS4VectorssnowsnpStatssommerSparseArraySummarizedExperimentsurvivalsystibbletidyselectUCSC.utilsutf8VariantAnnotationvctrswithrXMLXVectoryamlzlibbioczoo

Genomic Prediction of Cross Performance with gpcp

Rendered fromgpcp-introduction.Rmdusingknitr::rmarkdownon Nov 07 2024.

Last update: 2024-11-06
Started: 2024-11-06