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.

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Description file content

Package
sparsesvd
Title
Sparse Truncated Singular Value Decomposition (from 'SVDLIBC')
Version
0.2
Date
2019-07-15
Description
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.
Depends
R (>= 3.0)
Imports
Matrix, methods
License
BSD_3_clause + file LICENSE
URL
NeedsCompilation
yes
LazyData
true
Packaged
2019-07-15 13:52:52 UTC; evert
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
Repository
CRAN
Date/Publication
2019-07-15 15:10:03 UTC

install.packages('sparsesvd')

0.2

4 days ago

http://tedlab.mit.edu/~dr/SVDLIBC/

Stefan Evert

BSD_3_clause + file LICENSE

Depends on

R (>= 3.0)

Imports

Matrix, methods

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