SparseM1.84-2 package

Sparse Linear Algebra

Sparse Matrix Class Ontology

Basic Linear Algebra for Sparse Matrices

Linear Equation Solving via Cholesky Decomposition for Sparse Matrices

Class "summary.mslm"

Class "summary.slm"

Class "character or NULL"

Class "matrix.coo" -- Sparse Matrices in [Coo]rdinate Format

Class "matrix.csc" - Sparse Matrices in [C]ompressed [S]parse [C]olumn...

Class "matrix.csc.hb" - Column Compressed Sparse Matrices stored in Ha...

Class "matrix.csr" - Sparse Matrices in Compressed Sparse Row Format

Class "matrix.csr.chol" (Block Sparse Cholesky Decomposition)

Class "matrix.ssc" - Sparse Matrices in [S]ymmetric [S]parse [C]olumn ...

Class "matrix.ssc.hb"

Image Plot for Sparse Matrices

Class "matrix.ssr" - Sparse Matrices in [S]ymmetric [S]parse [R]ow For...

Class "mslm"

Class "numeric or NULL"

Class "slm"

Internal slm fitting functions

Methods for slm objects

Fit a linear regression model using sparse matrix algebra

Harwell-Boeing Format Sparse Matrices

Some basic linear algebra functionality for sparse matrices is provided: including Cholesky decomposition and backsolving as well as standard R subsetting and Kronecker products.

Maintainer: Roger Koenker License: GPL (>= 2) Last published: 2024-07-17