文章基本信息

标题：SparseM: A Sparse Matrix Package for R *
本地全文：下载
作者：Roger Koenker ; Pin Ng
期刊名称：Journal of Statistical Software
印刷版ISSN：1548-7660
电子版ISSN：1548-7660
出版年度：2003
卷号：8
期号：1
页码：1-9
语种：English
出版社：University of California, Los Angeles
摘要：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.