Package: randPedPCA Type: Package Title: Fast PCA for Large Pedigrees Version: 1.1.3 Authors@R: c( person("Hanbin", "Lee", email = "hblee@umich.edu", role = "aut"), person("Hannes", "Becher", email = "h.becher@ed.ac.uk", role = "cre"), person("Ros", "Craddock", email="", role= "aut"), person("Gregor", "Gorjanc", email="", role= "aut")) Description: 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). License: GPL (>= 2) Encoding: UTF-8 LazyData: true Depends: spam, Matrix, methods, pedigreeTools, R (>= 3.5), RSpectra Suggests: knitr, rmarkdown, testthat (>= 3.0.0), rgl RoxygenNote: 7.3.2 Config/testthat/edition: 3 VignetteBuilder: knitr NeedsCompilation: no Packaged: 2026-10-19 10:00:44 UTC; root Author: Hanbin Lee [aut], Hannes Becher [cre], Ros Craddock [aut], Gregor Gorjanc [aut] Maintainer: Hannes Becher Repository: https://bryo-han.r-universe.dev Date/Publication: 2025-07-22 15:00:55 UTC RemoteUrl: https://github.com/cran/randPedPCA RemoteRef: HEAD RemoteSha: 5ee6c8864ea3ee8e7fe18e714325a9c6a0a2872b