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: | 1.4 |
| Imports: | Rcpp (≥ 0.12.13), Rdpack, Matrix |
| LinkingTo: | Rcpp, RcppEigen |
| Published: | 2020-06-14 |
| 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 |
| Reference manual: | locStra.pdf |
| Package source: | locStra_1.4.tar.gz |
| Windows binaries: | r-devel: locStra_1.4.zip, r-release: locStra_1.4.zip, r-oldrel: locStra_1.4.zip |
| macOS binaries: | r-release: locStra_1.4.tgz, r-oldrel: locStra_1.4.tgz |
| Old sources: | locStra archive |
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