Package: gpcp 0.1.1

gpcp: Genomic Prediction of Cross Performance

The gpcp package provides tools to perform genomic prediction of cross performance in plant breeding using marker and phenotypic data. It implements mixed‐model methods to estimate mean F1 performance across many potential crosses.

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

gpcp_0.1.1.tar.gz
gpcp_0.1.1.zip(r-4.7)gpcp_0.1.1.zip(r-4.6)gpcp_0.1.1.zip(r-4.5)

gpcp_0.1.1.tar.gz(r-4.7-arm64)gpcp_0.1.1.tar.gz(r-4.7-x86_64)gpcp_0.1.1.tar.gz(r-4.6-arm64)gpcp_0.1.1.tar.gz(r-4.6-x86_64)
gpcp_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

Datasets:

phenotypeFile - Example Phenotype Data

On CRAN:

openblas cpp

4.00 score 2 scripts 479 downloads 1 exports 84 dependencies

Last updated from:4dd37e1746. Checks:7 ERROR, 2 OK, 4 FAIL. Indexed: yes.

Target	Result	Time
linux-devel-arm64	ERROR	340
linux-devel-x86_64	ERROR	393
source / vignettes	OK	282
linux-release-arm64	ERROR	356
linux-release-x86_64	ERROR	355
macos-release-arm64	FAIL	94
macos-release-x86_64	FAIL	194
macos-oldrel-arm64	FAIL	103
macos-oldrel-x86_64	FAIL	379
windows-devel	ERROR	315
windows-release	ERROR	309
windows-oldrel	ERROR	315
wasm-release	OK	164

Exports:runGPCP

Dependencies:abind AGHmatrix AnnotationDbi askpass BH Biobase BiocBaseUtils BiocGenerics BiocIO BiocParallel Biostrings bit bit64 bitops blob BSgenome cachem cigarillo cli codetools cpp11 crayon curl DBI DelayedArray dplyr enhancer fastmap formatR futile.logger futile.options generics GenomicAlignments GenomicFeatures GenomicRanges glue httr IRanges jsonlite KEGGREST lambda.r lattice lifecycle magrittr MASS Matrix MatrixGenerics matrixStats memoise mime openssl pillar pkgconfig png R6 Rcpp RcppArmadillo RcppProgress RCurl restfulr Rhtslib rjson rlang Rsamtools RSQLite rtracklayer S4Arrays S4Vectors Seqinfo snow sommer SparseArray SummarizedExperiment sys tibble tidyselect utf8 VariantAnnotation vctrs withr XML XVector yaml zoo

Genomic Prediction of Cross Performance with gpcp

Rendered fromgpcp-introduction.Rmdusingknitr::rmarkdown

Last update: 2025-07-31
Started: 2025-07-31

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Example Phenotype Data	phenotypeFile
Genomic Prediction of Cross Performance	runGPCP
Genomic Prediction of Cross Performance This function performs genomic prediction of cross performance using genotype and phenotype data.	runGPCP