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SparseM

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 (24)

SparseM.hb

Harwell-Boeing Format Sparse Matrices

SparseM.image

Image Plot for Sparse Matrices

SparseM.ontology

Sparse Matrix Class

SparseM.ops

Basic Linear Algebra for Sparse Matrices

SparseM.solve

Linear Equation Solving for Sparse Matrices

character-null-class

Class "character or NULL"

lsq

Least Squares Problems in Surveying

matrix.coo-class

Class "matrix.coo"

matrix.csc-class

Class "matrix.csc"

matrix.csc.hb-class

Class "matrix.csc.hb"

matrix.csr-class

Class "matrix.csr"

matrix.csr.chol-class

Class "matrix.csr.chol"

matrix.ssc-class

Class "matrix.ssc"

matrix.ssc.hb-class

Class "matrix.ssc.hb"

matrix.ssr-class

Class "matrix.ssr"

mslm-class

Class "mslm"

numeric-null-class

Class "numeric or NULL"

slm

Fit a linear regression model using sparse matrix algebra

slm-class

Class "slm"

slm.fit

Internal slm fitting functions

slm.methods

Methods for slm objects

summary.mslm-class

Class "summary.mslm"

summary.slm-class

Class "summary.slm"

triogramX

A Design Matrix for a Triogram Problem

SparseM

Sparse Linear Algebra

v1.81

GPL (>= 2)

Authors

Roger Koenker [cre, aut], Pin Tian Ng [ctb] (Contributions to Sparse QR code), Yousef Saad [ctb] (author of sparskit2), Ben Shaby [ctb] (author of chol2csr)

Initial release

SparseM

Functions (24)

SparseM

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