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: 0.2-2
Depends: R (≥ 3.0)
Imports: Matrix (≥ 1.3), methods
Published: 2023-01-14
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]), Stephanie Evert [cre, aut, cph] (copyright holder for files src/main.c, R/*, man/*, tests/*)
Maintainer: Stephanie Evert <stephanie.evert at fau.de>
License: BSD_3_clause + file LICENSE
URL: https://github.com/lucasmaystre/svdlibc, http://wordspace.r-forge.r-project.org/
NeedsCompilation: yes
Materials: NEWS
CRAN checks: sparsesvd results

Documentation:

Reference manual: sparsesvd.pdf

Downloads:

Package source: sparsesvd_0.2-2.tar.gz
Windows binaries: r-devel: sparsesvd_0.2-2.zip, r-release: sparsesvd_0.2-2.zip, r-oldrel: sparsesvd_0.2-2.zip
macOS binaries: r-release (arm64): sparsesvd_0.2-2.tgz, r-oldrel (arm64): sparsesvd_0.2-2.tgz, r-release (x86_64): sparsesvd_0.2-2.tgz
Old sources: sparsesvd archive

Reverse dependencies:

Reverse imports: wordspace

Linking:

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