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Carry out principal component analysis (PCA) of very large pedigrees such as found in breeding populations! This package, 'randPedPCA', exploits sparse matrices and randomised linear algebra to deliver a gazillion-times speed-up compared to naive singular value decoposition (SVD) (and eigen decomposition).
| Version: | 1.0.1 |
| Depends: | spam, Matrix, methods, pedigreeTools, R (≥ 3.5) |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0), rgl |
| Published: | 2025-04-24 |
| DOI: | 10.32614/CRAN.package.randPedPCA |
| Author: | Hanbin Lee [aut], Hannes Becher [cre], Ros Craddock [aut], Gregor Gorjanc [aut] |
| Maintainer: | Hannes Becher <h.becher at ed.ac.uk> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | randPedPCA results |
| Reference manual: | randPedPCA.pdf |
| Vignettes: |
pedigree-pca (source, R code) |
| Package source: | randPedPCA_1.0.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): randPedPCA_1.0.1.tgz, r-oldrel (arm64): randPedPCA_1.0.1.tgz, r-release (x86_64): randPedPCA_1.0.1.tgz, r-oldrel (x86_64): randPedPCA_1.0.1.tgz |
| Old sources: | randPedPCA archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.