Fast PCA for Large Pedigrees
Add downsampling index to rppca object
Compute the number of vectors to use for Hutchinson trace estimation
Hutch++ trace estimation
Generate spam object from L inverse file
3D plot using rgl
3D plot of PC scores with projections on coordinate planes
Generate range matrix for SVD
Singular value decomposition in sparse triangular matrix
Trace estimation for sparse L inverse matrices
Fast pedigree PCA using sparse matrices and randomised linear algebra
Convert generic sparse matrix to spam format
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).