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SparseM (version 1.77)

Sparse Linear Algebra

Description

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

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Version

Install

install.packages('SparseM')

Monthly Downloads

342,423

Version

1.77

License

GPL (>= 2)

Maintainer

Roger Koenker

Last Published

April 23rd, 2017

Functions in SparseM (1.77)

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"

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

Methods for slm objects

summary.mslm-class

Class "summary.mslm"