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Fast and fully sparse 'cpp' implementations to compute the genetic covariance matrix, the genomic relationship matrix, the Jaccard matrix, and the smatrix of an input matrix. Full support for sparse matrices from the Rpackage 'Matrix'. Additionally, a 'cpp' implementation of the power method (von Mises iteration) algorithm to compute the largest eigenvector of a matrix is included, and a function to compute sliding windows.
Package details 


Author  Georg Hahn [aut,cre], Sharon M. Lutz [ctb], Christoph Lange [ctb] 
Maintainer  Georg Hahn <[email protected]> 
License  GPL (>= 2) 
Version  1.0 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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