SparseM: A Sparse Matrix Package for R *
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.
Year of publication: |
2003-02-28
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Authors: | Koenker, Roger ; Ng, Pin |
Published in: |
Journal of Statistical Software. - American Statistical Association. - Vol. 08.2003, i06
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Publisher: |
American Statistical Association |
Saved in:
freely available
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