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: 2025-07-22 14:25:55 UTC; hbecher
Author: Hanbin Lee [aut],
  Hannes Becher [cre],
  Ros Craddock [aut],
  Gregor Gorjanc [aut]
Maintainer: Hannes Becher <h.becher@ed.ac.uk>
Repository: CRAN
Date/Publication: 2025-07-22 15:00:55 UTC
Built: R 4.6.0; ; 2026-04-27 19:35:01 UTC; unix
