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.


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install.packages("locStra")

1.0 by Georg Hahn, a month ago


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


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