Carry out principal component analysis (PCA) of very large pedigrees such as found in breeding populations! This package 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: 1.1.2 Depends: spam, Matrix, methods, pedigreeTools, R (≥ 3.5), RSpectra Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), rgl Published: 2025-06-16 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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=randPedPCA to link to this page.
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