# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "randPedPCA" in publications use:' type: software license: GPL-2.0-or-later title: 'randPedPCA: Fast PCA for Large Pedigrees' version: 1.1.3 doi: 10.32614/CRAN.package.randPedPCA abstract: 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). authors: - family-names: Lee given-names: Hanbin email: hblee@umich.edu - family-names: Becher given-names: Hannes email: h.becher@ed.ac.uk - family-names: Craddock given-names: Ros - family-names: Gorjanc given-names: Gregor repository: https://bryo-han.r-universe.dev commit: 5ee6c8864ea3ee8e7fe18e714325a9c6a0a2872b date-released: '2025-07-22' contact: - family-names: Becher given-names: Hannes email: h.becher@ed.ac.uk