SparseM v1.77


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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
SparseM.solve Linear Equation Solving for Sparse Matrices
character or NULL-class Class "character or NULL"
SparseM.ontology Sparse Matrix Class
SparseM.ops Basic Linear Algebra for Sparse Matrices
SparseM.hb Harwell-Boeing Format Sparse Matrices
SparseM.image Image Plot for Sparse Matrices Class "" Class ""
lsq Least Squares Problems in Surveying
matrix.coo-class Class "matrix.coo"
numeric or NULL-class Class "numeric or NULL"
slm-class Class "slm"
summary.slm-class Class "summary.slm"
triogramX A Design Matrix for a Triogram Problem
matrix.ssc-class Class "matrix.ssc"
matrix.ssc.hb-class Class "matrix.ssc.hb"
matrix.csr-class Class "matrix.csr"
matrix.csr.chol-class Class "matrix.csr.chol"
slm Fit a linear regression model using sparse matrix algebra Internal slm fitting functions
matrix.ssr-class Class "matrix.ssr"
mslm-class Class "mslm"
slm.methods Methods for slm objects
summary.mslm-class Class "summary.mslm"
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License GPL (>= 2)
NeedsCompilation yes
Repository CRAN
Packaged 2017-04-23 17:52:11 UTC; roger
Date/Publication 2017-04-23 18:26:30 UTC

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