Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Roger Koenker, Pin Ng
Title: SparseM: A Sparse Matrix Package for R *
Abstract: SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the package is illustrated by a family of linear model fitting functions that implement least squares methods for problems with sparse design matrices. Significant performance improvements in memory utilization and computational speed are possible for applications involving large sparse matrices.

Page views:: 8710. Submitted: 2002-11-06. Published: 2003-02-28.
Paper: SparseM: A Sparse Matrix Package for R *     Download PDF (Downloads: 8042)
Supplements:
SparseM_0.20.tar.gz: R source package Download (Downloads: 1282; 582KB)
SparseM_manual.pdf: SparseM manual Download (Downloads: 2240; 237KB)
DOI: 10.18637/jss.v008.i06

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.