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 |