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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
1.84-2
1.84
1.83
1.82
1.81
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1.77
1.74
1.72
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0.24
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0.09
Install
install.packages('SparseM')
Monthly Downloads
356,489
Version
1.84-2
License
GPL (>= 2)
Maintainer
Roger Koenker
Last Published
July 17th, 2024
Functions in SparseM (1.84-2)
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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"