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.

AuthorDoug 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/*)
Date of publication2016-04-24 16:35:50
MaintainerStefan Evert <stefan.evert@fau.de>
LicenseBSD_3_clause + file LICENSE
Version0.1-1
http://tedlab.mit.edu/~dr/SVDLIBC/, http://wordspace.r-forge.r-project.org/

View on CRAN

Files in this package

sparsesvd
sparsesvd/tests
sparsesvd/tests/iris.R
sparsesvd/tests/formats.R
sparsesvd/src
sparsesvd/src/main.c
sparsesvd/src/svdlib.c
sparsesvd/src/svdlib.h
sparsesvd/src/svdutil.c
sparsesvd/src/svdutil.h
sparsesvd/src/las2.c
sparsesvd/NAMESPACE
sparsesvd/NEWS
sparsesvd/R
sparsesvd/R/sparsesvd.R
sparsesvd/MD5
sparsesvd/DESCRIPTION
sparsesvd/man
sparsesvd/man/sparsesvd.Rd
sparsesvd/LICENSE

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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