Learn R Programming
⚠️There's a newer version (1.84-2) of this package.Take me there.

SparseM (version 1.81)

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.

Copy Link

Version

Install

install.packages('SparseM')

Monthly Downloads

261,123

Version

1.81

License

GPL (>= 2)

Maintainer

Roger Koenker

Last Published

February 18th, 2021

Functions in SparseM (1.81)

SparseM.solve

Linear Equation Solving for Sparse Matrices
character or NULL-class

Class "character or NULL"
lsq

Least Squares Problems in Surveying
SparseM.image

Image Plot for Sparse Matrices
SparseM.hb

Harwell-Boeing Format Sparse Matrices
mslm-class

Class "mslm"
matrix.ssr-class

Class "matrix.ssr"
matrix.csc-class

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

Class "matrix.csc.hb"
SparseM.ontology

Sparse Matrix Class
slm

Fit a linear regression model using sparse matrix algebra
slm.fit

Internal slm fitting functions
SparseM.ops

Basic Linear Algebra for Sparse Matrices
matrix.coo-class

Class "matrix.coo"
numeric or NULL-class

Class "numeric or NULL"
slm-class

Class "slm"
matrix.csr-class

Class "matrix.csr"
summary.mslm-class

Class "summary.mslm"
matrix.csr.chol-class

Class "matrix.csr.chol"
slm.methods

Methods for slm objects
matrix.ssc-class

Class "matrix.ssc"
summary.slm-class

Class "summary.slm"
triogramX

A Design Matrix for a Triogram Problem
matrix.ssc.hb-class

Class "matrix.ssc.hb"