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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).
Getting started
Browse package contents
Package details |
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| Author | Hanbin Lee [aut], Hannes Becher [cre], Ros Craddock [aut], Gregor Gorjanc [aut] |
| Maintainer | Hannes Becher <h.becher@ed.ac.uk> |
| License | GPL (>= 2) |
| Version | 1.1.3 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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Try the randPedPCA package in your browser
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