randPedPCA: Fast PCA for Large Pedigrees

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:	1.1.3
Depends:	spam, Matrix, methods, pedigreeTools, R (≥ 3.5), RSpectra
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0), rgl
Published:	2025-07-22
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:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	randPedPCA results

Documentation:

Reference manual:	randPedPCA.html , randPedPCA.pdf
Vignettes:	pedigree-pca (source, R code)

Downloads:

Package source:	randPedPCA_1.1.3.tar.gz
Windows binaries:	r-devel: randPedPCA_1.1.2.zip, r-release: randPedPCA_1.1.3.zip, r-oldrel: randPedPCA_1.1.3.zip
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): randPedPCA_1.1.3.tgz, r-oldrel (x86_64): randPedPCA_1.1.3.tgz
Old sources:	randPedPCA archive

Linking:

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