locStra: 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.

Version: 1.0
Imports: Rcpp (≥ 0.12.13), Rdpack, Matrix
LinkingTo: Rcpp, RcppEigen
Published: 2019-10-11
Author: Georg Hahn [aut,cre], Sharon M. Lutz [ctb], Christoph Lange [ctb]
Maintainer: Georg Hahn <ghahn at hsph.harvard.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: locStra results

Downloads:

Reference manual: locStra.pdf
Package source: locStra_1.0.tar.gz
Windows binaries: r-devel: locStra_1.0.zip, r-devel-gcc8: locStra_1.0.zip, r-release: locStra_1.0.zip, r-oldrel: locStra_1.0.zip
OS X binaries: r-release: locStra_1.0.tgz, r-oldrel: locStra_1.0.tgz

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