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Sparse and Dense Matrix Classes and Methods

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Sparse and Dense Matrix Classes and Methods Package ‘Matrix’ June 1, 2021 Version 1.3-4 Date 2021-05-24 Priority recommended Title Sparse and Dense Matrix Classes and Methods Contact Doug and Martin <[email protected]> Maintainer Martin Maechler <[email protected]> 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. Depends R (>= 3.5.0) Imports methods, graphics, grid, stats, utils, lattice Suggests expm, MASS Enhances MatrixModels, graph, SparseM, sfsmisc, igraph, maptools, sp, spdep EnhancesNote line 2: for ``Rd xrefs'' Encoding UTF-8 LazyData no LazyDataNote not possible, since we use data/*.R *and* our classes BuildResaveData no License GPL (>= 2) | file LICENCE URL http://Matrix.R-forge.R-project.org/ BugReports https://r-forge.r-project.org/tracker/?group_id=61 NeedsCompilation yes Author Douglas Bates [aut], Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Timothy A. Davis [ctb] (SuiteSparse and 'cs' C libraries, notably CHOLMOD, AMD; collaborators listed in dir(pattern = '^[A-Z]+[.]txt$', full.names=TRUE, system.file('doc', 1 2 R topics documented: 'SuiteSparse', package='Matrix'))), Jens Oehlschlägel [ctb] (initial nearPD()), Jason Riedy [ctb] (condest() and onenormest() for octave, Copyright: Regents of the University of California), R Core Team [ctb] (base R matrix implementation) Repository CRAN Date/Publication 2021-06-01 06:10:06 UTC R topics documented: abIndex-class . .4 abIseq . .6 all-methods . .7 all.equal-methods . .7 atomicVector-class . .8 band.............................................9 bandSparse . 10 bdiag . 12 BunchKaufman-methods . 14 CAex ............................................ 15 cBind . 16 CHMfactor-class . 17 chol ............................................. 20 chol2inv-methods . 22 Cholesky . 23 Cholesky-class . 26 colSums . 27 compMatrix-class . 29 condest . 30 CsparseMatrix-class . 32 ddenseMatrix-class . 33 ddiMatrix-class . 34 denseMatrix-class . 35 dgCMatrix-class . 36 dgeMatrix-class . 37 dgRMatrix-class . 38 dgTMatrix-class . 39 Diagonal . 41 diagonalMatrix-class . 42 diagU2N . 44 dMatrix-class . 45 dpoMatrix-class . 46 drop0 . 48 dsCMatrix-class . 49 dsparseMatrix-class . 51 dsRMatrix-class . 52 dsyMatrix-class . 53 R topics documented: 3 dtCMatrix-class . 54 dtpMatrix-class . 56 dtRMatrix-class . 58 dtrMatrix-class . 59 expand . 60 expm ............................................ 61 externalFormats . 62 facmul . 64 forceSymmetric . 65 formatSparseM . 66 generalMatrix-class . 67 graph-sparseMatrix . 68 Hilbert . 69 image-methods . 70 index-class . 72 indMatrix-class . 73 invPerm . 75 is.na-methods . 76 is.null.DN . 78 isSymmetric-methods . 79 isTriangular . 79 KhatriRao . 80 KNex ............................................ 82 kronecker-methods . 83 ldenseMatrix-class . 84 ldiMatrix-class . 85 lgeMatrix-class . 85 lsparseMatrix-classes . 86 lsyMatrix-class . 88 ltrMatrix-class . 89 lu .............................................. 90 LU-class . 93 mat2triplet . 94 Matrix . 95 Matrix-class . 97 matrix-products . 99 MatrixClass . 101 MatrixFactorization-class . 102 ndenseMatrix-class . 103 nearPD . 104 ngeMatrix-class . 107 nMatrix-class . 108 nnzero . 109 norm............................................. 111 nsparseMatrix-classes . 112 nsyMatrix-class . 114 ntrMatrix-class . 115 number-class . 116 4 abIndex-class pMatrix-class . 116 printSpMatrix . 119 qr-methods . 121 rankMatrix.
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