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 |