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Matrix (version 0.995-5)

A Matrix package for R

Description

Classes and methods for numerical linear algebra using Lapack, LDL, and Metis.

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Version

Install

install.packages('Matrix')

Monthly Downloads

118,373

Version

0.995-5

License

GPL version 2 or later. This R package includes code from the Metis package and from NIST. This code is covered by separate copyrights; see the file Copyrights for details. This R package includes code from the University of Florida sparse matrix library maintained by Tim Davis. All sections of that code are covered by the GPL or LGPL licenses. See the directory UFsparse for details.

Maintainer

Douglas Bates

Last Published

March 11th, 2025

Functions in Matrix (0.995-5)

Methods for "[<-" - Assigning to Subsets for 'Matrix'

dgRMatrix-class

Compressed, sparse, row-oriented numeric matrices

Triangular Decomposition of a Square Matrix

ddiMatrix-class

Class "ddiMatrix" of Diagonal Numeric Matrices

Mixed model representations

dsparseMatrix-class

Virtual Class "dsparseMatrix" of Numeric Sparse Matrices

Reaction times in a sleep deprivation study

Expand a Decomposition into Factors

compMatrix-class

Class "compMatrix" of Composite (Factorizable) Matrices

dtpMatrix-class

Packed triangular dense matrices

A sample response vector

dsRMatrix-class

Symmetric Sparse Compressed Row Matrices

Methods for "[": Extraction or Subsetting in Package 'Matrix'

Bayesian Information Criterion

Cholesky and Bunch-Kaufman Decompositions

dtrMatrix-class

Triangular, dense, numeric matrices

RsparseMatrix-class

Class "RsparseMatrix" of Sparse Matrices in Column-compressed Form

dpoMatrix-class

Positive Semi-definite Dense Numeric Matrices

Multiplication by Decomposition Factors

dgeMatrix-class

Class "dgeMatrix" of Dense Numeric (S4 Class) Matrices

Fit (Generalized) Linear Mixed-Effects Models

TsparseMatrix-class

Class "TsparseMatrix" of Sparse Matrices in Triplet Form

Extract Random Effects

dtCMatrix-class

Triangular, (compressed) sparse column matrices

dgCMatrix-class

Compressed, sparse, column-oriented numeric matrices

dgTMatrix-class

Sparse matrices in triplet form

Permutation matrices

(Virtual) Class "dMatrix" of "double" Matrices

Schur Decomposition of a Matrix

Extract Fixed Effects

Extract variance and correlation components

diagonalMatrix-class

Class "diagonalMatrix" of Diagonal Matrices

lsyMatrix-class

Symmetric Dense Logical Matrices

A sample sparse model matrix

Generate an MCMC sample

triangularMatrix-class

Virtual Class of Triangular Matrices in package:Matrix

ltrMatrix-class

Triangular Dense Logical Matrices

Estimate the Reciprocal Condition Number

corrmatrix-class

Class "corrmatrix"

Full Storage Representation of Packed Matrices

sparseMatrix-class

Virtual Class "sparseMatrix" --- Mother of Sparse Matrices

ldenseMatrix-class

Virtual Class "ldenseMatrix" of Dense Logical Matrices

Norm of a Matrix

LU Matrix Decompositions

Virtual Class "index" - Simple Class for Matrix Indices

Matrix exponential

generalMatrix-class

Class "generalMatrix" of General Matrices

symmetricMatrix-class

Virtual Class of Symmetric Matrices in package:Matrix

Virtual Class "Matrix" Class of Matrices

Class "VarCorr"

Create Diagonal Matrix Object

Generate a Hilbert matrix

Construct a Classed Matrix

CHMfactor-class

CHOLMOD-based Cholesky factorizations

denseMatrix-class

Virtual Class "denseMatrix" of All Dense Matrices

dsCMatrix-class

Numeric Symmetric Sparse (column compressed) Matrices

dsyMatrix-class

Symmetric Dense Numeric Matrices

dCholCMatrix-class

Cholesky Decompositions of dsCMatrix Objects

lgeMatrix-class

Class "lgeMatrix" of General Dense Logical Matrices

ldiMatrix-class

Class "ldiMatrix" of Diagonal Logical Matrices

Cross-product of transpose

Virtual Classes Not Yet Used

lsparseMatrix-classes

Sparse logical matrices

ddenseMatrix-class

Virtual Class "ddenseMatrix" of Numeric Dense Matrices

CsparseMatrix-class

Class "CsparseMatrix" of Sparse Matrices in Column-compressed Form

externalFormats

Read and write external matrix formats