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.

Getting started

Package details

AuthorGeorg Hahn [aut,cre], Sharon M. Lutz [ctb], Christoph Lange [ctb]
MaintainerGeorg Hahn <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the locStra package in your browser

Any scripts or data that you put into this service are public.

locStra documentation built on Oct. 11, 2019, 5:06 p.m.