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SparseM (version 1.84-2)

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

261,123

Version

1.84-2

License

GPL (>= 2)

Maintainer

Last Published

July 17th, 2024

Functions in SparseM (1.84-2)

matrix.csr.chol-class

Class "matrix.csr.chol" (Block Sparse Cholesky Decomposition)
numeric or NULL-class

Class "numeric or NULL"
matrix.ssr-class

Class "matrix.ssr" - Sparse Matrices in [S]ymmetric [S]parse [R]ow Format
matrix.ssc-class

Class "matrix.ssc" - Sparse Matrices in [S]ymmetric [S]parse [C]olumn Format
slm.methods

Methods for slm objects
matrix.csr-class

Class "matrix.csr" - Sparse Matrices in Compressed Sparse Row Format
matrix.ssc.hb-class

Class "matrix.ssc.hb"
slm-class

Class "slm"
slm.fit

Internal slm fitting functions
summary.slm-class

Class "summary.slm"
mslm-class

Class "mslm"
triogramX

A Design Matrix for a Triogram Problem
summary.mslm-class

Class "summary.mslm"
slm

Fit a linear regression model using sparse matrix algebra
SparseM.hb

Harwell-Boeing Format Sparse Matrices
matrix.csc-class

Class "matrix.csc" - Sparse Matrices in [C]ompressed [S]parse [C]olumn Format
lsq

Least Squares Problems in Surveying
matrix.coo-class

Class "matrix.coo" -- Sparse Matrices in [Coo]rdinate Format
SparseM.solve

Linear Equation Solving via Cholesky Decomposition for Sparse Matrices
SparseM.image

Image Plot for Sparse Matrices
matrix.csc.hb-class

Class "matrix.csc.hb" - Column Compressed Sparse Matrices stored in Harwell-Boeing Format
SparseM.ontology

Sparse Matrix Class Ontology
SparseM.ops

Basic Linear Algebra for Sparse Matrices
character or NULL-class

Class "character or NULL"