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Matrix (version 1.4-1)

Sparse and Dense Matrix Classes and Methods

Description

A rich hierarchy of matrix classes, including triangular, symmetric, and diagonal matrices, both dense and sparse and with pattern, logical and numeric entries. Numerous methods for and operations on these matrices, using 'LAPACK' and 'SuiteSparse' libraries.

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Install

install.packages('Matrix')

Monthly Downloads

107,780

Version

1.4-1

License

GPL (>= 2) | file LICENCE

Maintainer

Last Published

March 23rd, 2022

Functions in Matrix (1.4-1)

Matrix

Construct a Classed Matrix
Schur-class

Class "Schur" of Schur Matrix Factorizations
Schur

Schur Decomposition of a Matrix
CsparseMatrix-class

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

Sparse Matrix Coercion from and to those from package SparseM
MatrixClass

The Matrix (Super-) Class of a Class
[<--methods

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

"Matrix" Methods for Functions all() and any()
TsparseMatrix-class

Class "TsparseMatrix" of Sparse Matrices in Triplet Form
Matrix-class

Virtual Class "Matrix" Class of Matrices
LU-class

LU (dense) Matrix Decompositions
abIseq

Sequence Generation of "abIndex", Abstract Index Vectors
USCounties

USCounties Contiguity Matrix
MatrixFactorization-class

Class "MatrixFactorization" of Matrix Factorizations
atomicVector-class

Virtual Class "atomicVector" of Atomic Vectors
band

Extract bands of a matrix
all.equal-methods

Matrix Package Methods for Function all.equal()
[-methods

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

Class "abIndex" of Abstract Index Vectors
colSums

Form Row and Column Sums and Means
dMatrix-class

(Virtual) Class "dMatrix" of "double" Matrices
chol2inv-methods

Inverse from Choleski or QR Decomposition -- Matrix Methods
chol

Choleski Decomposition - 'Matrix' S4 Generic and Methods
cBind

'cbind()' and 'rbind()' recursively built on cbind2/rbind2
condest

Compute Approximate CONDition number and 1-Norm of (Large) Matrices
dmperm

Dulmage-Mendelsohn Permutation / Decomposition
compMatrix-class

Class "compMatrix" of Composite (Factorizable) Matrices
dpoMatrix-class

Positive Semi-definite Dense (Packed | Non-packed) Numeric Matrices
RsparseMatrix-class

Class "RsparseMatrix" of Sparse Matrices in Row-compressed Form
bdiag

Construct a Block Diagonal Matrix
bandSparse

Construct Sparse Banded Matrix from (Sup-/Super-) Diagonals
diagU2N

Transform Triangular Matrices from Unit Triangular to General Triangular and Back
dgCMatrix-class

Compressed, sparse, column-oriented numeric matrices
ddenseMatrix-class

Virtual Class "ddenseMatrix" of Numeric Dense Matrices
diagonalMatrix-class

Class "diagonalMatrix" of Diagonal Matrices
dgTMatrix-class

Sparse matrices in triplet form
dgRMatrix-class

Sparse Compressed, Row-oriented Numeric Matrices
dsRMatrix-class

Symmetric Sparse Compressed Row Matrices
dtRMatrix-class

Triangular Sparse Compressed Row Matrices
dtpMatrix-class

Packed Triangular Dense Matrices - "dtpMatrix"
%&%-methods

Boolean Arithmetic Matrix Products: %&% and Methods
dtrMatrix-class

Triangular, dense, numeric matrices
dsparseMatrix-class

Virtual Class "dsparseMatrix" of Numeric Sparse Matrices
expm

Matrix Exponential
expand

Expand a (Matrix) Decomposition into Factors
facmul

Multiplication by Decomposition Factors
dgeMatrix-class

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

Read and write external matrix formats
denseMatrix-class

Virtual Class "denseMatrix" of All Dense Matrices
ddiMatrix-class

Class "ddiMatrix" of Diagonal Numeric Matrices
dsyMatrix-class

Symmetric Dense (Packed | Non-packed) Numeric Matrices
dsCMatrix-class

Numeric Symmetric Sparse (column compressed) Matrices
dtCMatrix-class

Triangular, (compressed) sparse column matrices
graph-sparseMatrix

Conversions "graph" <--> (sparse) Matrix
drop0

Drop "Explicit Zeroes" from a Sparse Matrix
indMatrix-class

Index Matrices
image-methods

Methods for image() in Package 'Matrix'
ldenseMatrix-class

Virtual Class "ldenseMatrix" of Dense Logical Matrices
forceSymmetric

Force a Matrix to 'symmetricMatrix' Without Symmetry Checks
generalMatrix-class

Class "generalMatrix" of General Matrices
formatSparseM

Formatting Sparse Numeric Matrices Utilities
is.na-methods

is.na(), is.infinite() Methods for 'Matrix' Objects
matrix-products

Matrix (Cross) Products (of Transpose)
invPerm

Inverse Permutation Vector
nMatrix-class

Class "nMatrix" of Non-zero Pattern Matrices
isTriangular

isTriangular() and isDiagonal() Checking if Matrix is Triangular or Diagonal
packedMatrix-class

Class "packedMatrix" of packed dense symmetric/triangular Matrices
norm

Matrix Norms
is.null.DN

Are the Dimnames dn NULL-like ?
kronecker-methods

Methods for Function 'kronecker()' in Package 'Matrix'
sparseLU-class

Sparse LU decomposition of a square sparse matrix
index-class

Virtual Class "index" - Simple Class for Matrix Indices
nsparseMatrix-classes

Sparse "pattern" Matrices
ldiMatrix-class

Class "ldiMatrix" of Diagonal Logical Matrices
symmetricMatrix-class

Virtual Class of Symmetric Matrices in Package Matrix
sparseMatrix-class

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

Format and Print Sparse Matrices Flexibly
symmpart

Symmetric Part and Skew(symmetric) Part of a Matrix
nnzero

The Number of Non-Zero Values of a Matrix
ngeMatrix-class

Class "ngeMatrix" of General Dense Nonzero-pattern Matrices
rep2abI

Replicate Vectors into 'abIndex' Result
rcond

Estimate the Reciprocal Condition Number
sparseMatrix

General Sparse Matrix Construction from Nonzero Entries
sparseQR-class

Sparse QR decomposition of a sparse matrix
lgeMatrix-class

Class "lgeMatrix" of General Dense Logical Matrices
spMatrix

Sparse Matrix Constructor From Triplet
isSymmetric-methods

Methods for Function isSymmetric in Package 'Matrix'
lu

(Generalized) Triangular Decomposition of a Matrix
sparse.model.matrix

Construct Sparse Design / Model Matrices
ndenseMatrix-class

Virtual Class "ndenseMatrix" of Dense Logical Matrices
nearPD

Nearest Positive Definite Matrix
ntrMatrix-class

Triangular Dense Logical Matrices
nsyMatrix-class

Symmetric Dense Nonzero-Pattern Matrices
mat2triplet

Map Matrix to its Triplet Representation
lsparseMatrix-classes

Sparse logical matrices
rleDiff-class

Class "rleDiff" of rle(diff(.)) Stored Vectors
replValue-class

Virtual Class "replValue" - Simple Class for subassignment Values
triangularMatrix-class

Virtual Class of Triangular Matrices in Package Matrix
pMatrix-class

Permutation matrices
number-class

Class "number" of Possibly Complex Numbers
sparseVector-class

Sparse Vector Classes
updown

Up- and Down-Dating a Cholesky Decomposition
uniqTsparse

Unique (Sorted) TsparseMatrix Representations
sparseVector

Sparse Vector Construction from Nonzero Entries
wrld_1deg

World 1-degree grid contiguity matrix
lsyMatrix-class

Symmetric Dense Logical Matrices
ltrMatrix-class

Triangular Dense Logical Matrices
rankMatrix

Rank of a Matrix
rsparsematrix

Random Sparse Matrix
qr-methods

QR Decomposition -- S4 Methods and Generic
solve-methods

Methods in Package Matrix for Function solve()
unpack

Representation of Packed and Unpacked (Dense) Matrices
Unused-classes

Virtual Classes Not Yet Really Implemented and Used
Hilbert

Generate a Hilbert matrix
CAex

Albers' example Matrix with "Difficult" Eigen Factorization
BunchKaufman-methods

Bunch-Kaufman Decomposition Methods
Cholesky

Cholesky Decomposition of a Sparse Matrix
Cholesky-class

Cholesky and Bunch-Kaufman Decompositions
Diagonal

Create Diagonal Matrix Object
CHMfactor-class

CHOLMOD-based Cholesky Factorizations
KNex

Koenker-Ng Example Sparse Model Matrix and Response Vector
KhatriRao

Khatri-Rao Matrix Product