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).


Reference manual

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install.packages("randPedPCA")

1.1.3 by Hannes Becher, a year ago


Browse source code at https://github.com/cran/randPedPCA


Authors: Hanbin Lee [aut] , Hannes Becher [cre] , Ros Craddock [aut] , Gregor Gorjanc [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Depends on spam, Matrix, methods, pedigreeTools, RSpectra

Suggests knitr, rmarkdown, testthat, rgl


See at CRAN