Fast Implementation of (Local) Population Stratification Methods

Fast and fully sparse 'cpp' implementations to compute the genetic covariance matrix, the genomic relationship matrix, the Jaccard matrix, and the s-matrix of an input matrix. Full support for sparse matrices from the R-package '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.


Reference manual

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1.4 by Georg Hahn, 4 months ago

Browse source code at

Authors: Georg Hahn [aut,cre] , Sharon M. Lutz [ctb] , Christoph Lange [ctb]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports Rcpp, Rdpack, Matrix

Linking to Rcpp, RcppEigen

See at CRAN