sparsesvd: Sparse Truncated Singular Value Decomposition (from 'SVDLIBC')

Wrapper around the 'SVDLIBC' library for (truncated) singular value decomposition of a sparse matrix. Currently, only sparse real matrices in Matrix package format are supported.

Version: 0.1-1
Depends: R (≥ 3.0)
Imports: Matrix, methods
Published: 2016-04-24
Author: Doug Rohde [aut], Michael Berry [aut], Theresa Do [aut], Gavin O'Brien [aut], Vijay Krishna [aut], Sowmini Varadhan [aut], University of Tennessee Research Foundation [cph] (files src/las2.c, src/svdlib.[ch], src/svdutil.[ch]), Stefan Evert [cre, aut, cph] (copyright holder for files src/main.c, R/*, man/*, tests/*)
Maintainer: Stefan Evert <stefan.evert at fau.de>
License: BSD_3_clause + file LICENSE
URL: http://tedlab.mit.edu/~dr/SVDLIBC/, http://wordspace.r-forge.r-project.org/
NeedsCompilation: yes
Materials: NEWS
CRAN checks: sparsesvd results

Downloads:

Reference manual: sparsesvd.pdf
Package source: sparsesvd_0.1-1.tar.gz
Windows binaries: r-devel: sparsesvd_0.1-1.zip, r-release: sparsesvd_0.1-1.zip, r-oldrel: sparsesvd_0.1-1.zip
OS X El Capitan binaries: r-release: sparsesvd_0.1-1.tgz
OS X Mavericks binaries: r-oldrel: sparsesvd_0.1-1.tgz
Old sources: sparsesvd archive

Reverse dependencies:

Reverse imports: wordspace

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