randPedPCA: Fast PCA for Large Pedigrees

Carry out principal component analysis (PCA) of very large pedigrees such as found in breeding populations! This package, 'randPedPCA', 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:	1.0.1
Depends:	spam, Matrix, methods, pedigreeTools, R (≥ 3.5)
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0), rgl
Published:	2025-04-24
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:

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

Downloads:

Package source:	randPedPCA_1.0.1.tar.gz
Windows binaries:	r-devel: not available, r-release: randPedPCA_1.0.1.zip, r-oldrel: randPedPCA_1.0.1.zip
macOS binaries:	r-release (arm64): randPedPCA_1.0.1.tgz, r-oldrel (arm64): randPedPCA_1.0.1.tgz, r-release (x86_64): randPedPCA_1.0.1.tgz, r-oldrel (x86_64): randPedPCA_1.0.1.tgz
Old sources:	randPedPCA archive

Linking:

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