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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.
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1.81
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Install
install.packages('SparseM')
Monthly Downloads
262,367
Version
1.81
License
GPL (>= 2)
Maintainer
Roger Koenker
Last Published
February 18th, 2021
Functions in SparseM (1.81)
Search functions
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"