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Matrix

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Sparse and Dense Matrix Classes and Methods

View on CRAN: Click here

Download and install Matrix package within the R console
Install from CRAN:

 install.packages("Matrix")

Install from Github:

 library("remotes")

                        install_github("cran/Matrix")

Install by package version:

 library("remotes")

                        install_version("Matrix", "1.7-0")

Attach the package and use:

 library("Matrix")

Maintained by
Martin Maechler
[Scholar Profile | Author Map]

All associated links for this package

First Published: 2000-07-15

Latest Update: 2024-01-11

Description:

A rich hierarchy of sparse and dense matrix classes, including general, symmetric, triangular, and diagonal matrices with numeric, logical, or pattern entries.Efficient methods for operating on such matrices, often wrapping the 'BLAS', 'LAPACK', and 'SuiteSparse' libraries.

How to cite:

Martin Maechler (2000). Matrix: Sparse and Dense Matrix Classes and Methods. R package version 1.7-0, https://cran.r-project.org/web/packages/Matrix

Previous versions and publish date:

0.2-1 (2000-07-15 02:57), 0.2-4 (2000-07-19 14:32), 0.3-1 (2000-07-25 08:37), 0.3-3 (2000-08-11 18:19), 0.3-5 (2000-08-20 08:22), 0.3-6 (2000-10-30 16:11), 0.3-7 (2000-12-07 19:58), 0.3-8 (2001-01-11 11:54), 0.3-9 (2001-03-09 08:26), 0.3-10 (2001-05-05 09:22), 0.3-13 (2001-05-11 12:54), 0.3-15 (2001-05-16 07:43), 0.3-16 (2001-12-14 10:22), 0.3-17 (2002-04-30 19:59), 0.3-18 (2002-05-03 17:35), 0.3-19 (2002-07-23 16:19), 0.3-20 (2002-10-09 11:16), 0.3-21 (2002-10-27 09:00), 0.3-22 (2003-02-03 21:00), 0.3-23 (2003-04-16 21:16), 0.3-24 (2003-04-20 08:24), 0.3-25 (2003-10-30 09:44), 0.3-26 (2003-11-04 18:24), 0.8-2 (2004-04-12 14:57), 0.8-3 (2004-04-13 09:17), 0.8-4 (2004-04-18 23:01), 0.8-5 (2004-04-21 10:53), 0.8-6 (2004-04-29 20:21), 0.8-7 (2004-06-02 10:40), 0.8-8 (2004-06-08 08:26), 0.8-9 (2004-07-07 09:31), 0.8-10 (2004-07-08 12:34), 0.8-11 (2004-08-26 19:21), 0.8-12 (2004-09-06 21:03), 0.8-13 (2004-09-13 21:24), 0.8-14 (2004-09-14 18:20), 0.8-15 (2004-10-04 10:35), 0.8-16 (2004-11-03 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1.1-3 (2014-03-31 12:51), 1.1-4 (2014-06-15 20:26), 1.1-5-1 (2015-03-23 22:33), 1.1-5 (2015-01-18 19:50), 1.2-0 (2015-04-04 16:16), 1.2-1 (2015-06-01 17:38), 1.2-2 (2015-07-08 09:35), 1.2-3 (2015-11-28 14:45), 1.2-4 (2016-03-02 16:11), 1.2-5 (2016-04-17 14:01), 1.2-6 (2016-05-02 15:51), 1.2-7.1 (2016-09-01 12:23), 1.2-7 (2016-08-28 22:56), 1.2-8 (2017-01-20 14:31), 1.2-9 (2017-03-14 18:17), 1.2-10 (2017-05-04 00:53), 1.2-11 (2017-08-21 12:31), 1.2-12 (2017-11-20 19:58), 1.2-13 (2018-04-02 12:40), 1.2-14 (2018-04-09 19:11), 1.2-15 (2018-11-01 19:30), 1.2-16 (2019-03-08 16:33), 1.2-17 (2019-03-22 23:57), 1.2-18 (2019-11-27 16:20), 1.3-0 (2020-12-22 07:40), 1.3-2 (2021-01-06 18:40), 1.3-3 (2021-05-04 12:50), 1.3-4 (2021-06-01 08:10), 1.4-0 (2021-12-08 22:10), 1.4-1 (2022-03-23 17:30), 1.5-0 (2022-09-11 00:03), 1.5-1 (2022-09-13 10:10), 1.5-3 (2022-11-11 09:30), 1.5-4.1 (2023-05-18 10:02), 1.5-4 (2023-04-04 10:20), 1.6-0 (2023-07-08 13:00), 1.6-1.1 (2023-09-18 19:40), 1.6-1 (2023-08-14 09:20), 1.6-2 (2023-11-08 01:10), 1.6-3 (2023-11-14 12:55), 1.6-4 (2023-11-30 15:40), 1.6-5 (2024-01-11 18:50)

Other packages that cited Matrix R package

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Other R packages that Matrix depends, imports, suggests or enhances

View Matrix dependency map

Functions, R codes and Examples using the Matrix R package

Some associated functions: BunchKaufman-methods . CAex . CHMfactor-class . Cholesky-class . Cholesky . CsparseMatrix-class . Diagonal . Hilbert . KNex . KhatriRao . LU-class . Matrix-class . Matrix . MatrixClass . MatrixFactorization-class . RsparseMatrix-class . Schur-class . Schur . SparseM-conv . Subassign-methods . TsparseMatrix-class . USCounties . Xtrct-methods . abIndex-class . abIseq . all-methods . all.equal-methods . atomicVector-class . band . bandSparse . bdiag . boolean-matprod . cBind . chol . chol2inv-methods . colSums . compMatrix-class . condest . dMatrix-class . ddenseMatrix-class . ddiMatrix-class . denseMatrix-class . dgCMatrix-class . dgRMatrix-class . dgTMatrix-class . dgeMatrix-class . diagU2N . diagonalMatrix-class . dimScale . dmperm . dpoMatrix-class . drop0 . dsCMatrix-class . dsRMatrix-class . dsparseMatrix-class . dsyMatrix-class . dtCMatrix-class . dtRMatrix-class-def . dtpMatrix-class . dtrMatrix-class . expand . expm . externalFormats . facmul . forceSymmetric . formatSparseM . generalMatrix-class . graph2T . image-methods . indMatrix-class . index-class . invPerm . is.na-methods . is.null.DN . isSymmetric-methods . isTriangular . kronecker-methods . ldenseMatrix-class . ldiMatrix-class . lgeMatrix-class . lsparseMatrix-classes . lsyMatrix-class . ltrMatrix-class . lu . mat2triplet . matrix-products . nMatrix-class . ndenseMatrix-class . nearPD . ngeMatrix-class . nnzero . norm . nsparseMatrix-classes . nsyMatrix-class . ntrMatrix-class . number-class . pMatrix-class . packedMatrix-class . printSpMatrix . qr-methods . rankMatrix . rcond . rep2abI . replValue-class . rleDiff-class . rsparsematrix . solve-methods . spMatrix . sparse.model.matrix . sparseLU-class . sparseMatrix-class . sparseMatrix . sparseQR-class . sparseVector-class . sparseVector . symmetricMatrix-class . symmpart . triangularMatrix-class . uniqTsparse . unpack . unpackedMatrix-class . unused-classes . updown . wrld_1deg .
Some associated R codes: AllClass.R . AllGeneric.R . Auxiliaries.R . BunchKaufman.R . CHMfactor.R . Csparse.R . HBMM.R . Hilbert.R . KhatriRao.R . LU.R . Math.R . Matrix.R . MatrixFactorization.R . Ops.R . Rsparse.R . SparseM-conv.R . Summary.R . Tsparse.R . abIndex.R . bandSparse.R . bind2.R . chol.R . colSums.R . condest.R . corMatrix.R . denseMatrix.R . determinant.R . diagMatrix.R . dpoMatrix.R . dppMatrix.R . eigen.R . expm.R . graph-conv.R . image.R . indMatrix.R . is.na.R . kronecker.R . nearPD.R . nnzero.R . norm.R . not.R . pMatrix.R . packedMatrix.R . products.R . qr.R . rankMatrix.R . rcond.R . solve.R . spModels.R . sparseMatrix.R . sparseQR.R . sparseVector.R . symmetricMatrix.R . triangularMatrix.R . unpackedMatrix.R . which.R . zzz.R . Full Matrix package functions and examples

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