# SparseM v1.77

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## Sparse Linear Algebra

Some basic linear algebra functionality for sparse matrices is
provided: including Cholesky decomposition and backsolving as well as
standard R subsetting and Kronecker products.

## Functions in SparseM

Name | Description | |

SparseM.solve | Linear Equation Solving for Sparse Matrices | |

character or NULL-class | Class "character or NULL" | |

SparseM.ontology | Sparse Matrix Class | |

SparseM.ops | Basic Linear Algebra for Sparse Matrices | |

SparseM.hb | Harwell-Boeing Format Sparse Matrices | |

SparseM.image | Image Plot for Sparse Matrices | |

matrix.csc-class | Class "matrix.csc" | |

matrix.csc.hb-class | Class "matrix.csc.hb" | |

lsq | Least Squares Problems in Surveying | |

matrix.coo-class | Class "matrix.coo" | |

numeric or NULL-class | Class "numeric or NULL" | |

slm-class | Class "slm" | |

summary.slm-class | Class "summary.slm" | |

triogramX | A Design Matrix for a Triogram Problem | |

matrix.ssc-class | Class "matrix.ssc" | |

matrix.ssc.hb-class | Class "matrix.ssc.hb" | |

matrix.csr-class | Class "matrix.csr" | |

matrix.csr.chol-class | Class "matrix.csr.chol" | |

slm | Fit a linear regression model using sparse matrix algebra | |

slm.fit | Internal slm fitting functions | |

matrix.ssr-class | Class "matrix.ssr" | |

mslm-class | Class "mslm" | |

slm.methods | Methods for slm objects | |

summary.mslm-class | Class "summary.mslm" | |

No Results! |

## Vignettes of SparseM

Name | ||

SparseM.Rnw | ||

No Results! |

## Last month downloads

## Details

License | GPL (>= 2) |

URL | http://www.econ.uiuc.edu/~roger/research/sparse/sparse.html |

NeedsCompilation | yes |

Repository | CRAN |

Packaged | 2017-04-23 17:52:11 UTC; roger |

Date/Publication | 2017-04-23 18:26:30 UTC |

imports | graphics , stats , utils |

depends | methods , R (>= 2.15) |

Contributors | Roger Koenker, Pin Ng |

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