SparseM

A Sparse Matrix Package for R

Roger Koenker, Pin T Ng

Research output: Contribution to journalArticle

22 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)1-9
Number of pages9
JournalJournal of Statistical Software
Volume8
StatePublished - 2003
Externally publishedYes

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Sparse matrix
Model Fitting
Least Square Method
Linear algebra
Linear Model
Data storage equipment
Family
Design

ASJC Scopus subject areas

  • Software
  • Statistics and Probability

Cite this

SparseM : A Sparse Matrix Package for R. / Koenker, Roger; Ng, Pin T.

In: Journal of Statistical Software, Vol. 8, 2003, p. 1-9.

Research output: Contribution to journalArticle

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