SparseM v1.78

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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 in SparseM

Name Description
matrix.ssc-class Class "matrix.ssc"
SparseM.solve Linear Equation Solving for Sparse Matrices
character or NULL-class Class "character or NULL"
matrix.csr.chol-class Class "matrix.csr.chol"
SparseM.ops Basic Linear Algebra for Sparse Matrices
summary.slm-class Class "summary.slm"
SparseM.ontology Sparse Matrix Class
lsq Least Squares Problems in Surveying
slm Fit a linear regression model using sparse matrix algebra
matrix.ssr-class Class "matrix.ssr"
matrix.coo-class Class "matrix.coo"
slm.fit Internal slm fitting functions
triogramX A Design Matrix for a Triogram Problem
matrix.ssc.hb-class Class "matrix.ssc.hb"
slm.methods Methods for slm objects
mslm-class Class "mslm"
summary.mslm-class Class "summary.mslm"
SparseM.image Image Plot for Sparse Matrices
numeric or NULL-class Class "numeric or NULL"
SparseM.hb Harwell-Boeing Format Sparse Matrices
slm-class Class "slm"
matrix.csc-class Class "matrix.csc"
matrix.csc.hb-class Class "matrix.csc.hb"
matrix.csr-class Class "matrix.csr"
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Vignettes of SparseM

Name
SparseM.Rnw
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Details

License GPL (>= 2)
URL http://www.econ.uiuc.edu/~roger/research/sparse/sparse.html
NeedsCompilation yes
Repository CRAN
Packaged 2019-12-12 17:25:30 UTC; roger
Date/Publication 2019-12-13 09:10:07 UTC

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