sparsesvd: Sparse Truncated Singular Value Decomposition (from 'SVDLIBC')
Version 0.1-3

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.

Getting started

Package details

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 publication2017-09-04 17:31:13
MaintainerStefan Evert <[email protected]>
LicenseBSD_3_clause + file LICENSE
Version0.1-3
URL http://tedlab.mit.edu/~dr/SVDLIBC/ http://wordspace.r-forge.r-project.org/
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("sparsesvd", repos="http://R-Forge.R-project.org")

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sparsesvd documentation built on Sept. 5, 2017, 3:01 a.m.