Matrix: Sparse and Dense Matrix Classes and Methods

Classes and methods for dense and sparse matrices and operations on them using 'LAPACK' and 'SuiteSparse'.

Version: 1.2-6
Priority: recommended
Depends: R (≥ 3.0.1)
Imports: methods, graphics, grid, stats, utils, lattice
Suggests: expm, MASS
Enhances: MatrixModels, graph, SparseM, sfsmisc
Published: 2016-05-02
Author: Douglas Bates and Martin Maechler
Maintainer: Martin Maechler <mmaechler+Matrix at gmail.com>
Contact: Doug and Martin <Matrix-authors@R-project.org>
License: GPL-2 | GPL-3 | file LICENCE [expanded from: GPL (≥ 2) | file LICENCE]
URL: http://Matrix.R-forge.R-project.org/
NeedsCompilation: yes
Materials: NEWS ChangeLog
In views: Econometrics, Multivariate, NumericalMathematics
CRAN checks: Matrix results

Downloads:

Reference manual: Matrix.pdf
Vignettes: Comparisons of Least Squares calculation speeds
Design Issues in Matrix package Development
2nd Introduction to the Matrix Package
Introduction to the Matrix Package
Sparse Model Matrices
Package source: Matrix_1.2-6.tar.gz
Windows binaries: r-devel: Matrix_1.2-6.zip, r-release: Matrix_1.2-6.zip, r-oldrel: Matrix_1.2-6.zip
OS X Mavericks binaries: r-release: Matrix_1.2-6.tgz, r-oldrel: Matrix_1.2-6.tgz
Old sources: Matrix archive

Reverse dependencies:

Reverse depends: adaptMCMC, adaptsmoFMRI, addhaz, ADMMnet, agop, ahaz, arm, arules, BacArena, BayesFactor, bayesGDS, bc3net, BCE, BDgraph, bigdata, biglasso, BinNonNor, BinNor, bnstruct, BTLLasso, cAIC4, CAM, camel, cherry, CLSOCP, covLCA, CoxBoost, Coxnet, cpgen, cplm, crqa, crrp, CRTgeeDR, ctmcmove, CVST, cvxbiclustr, cvxclustr, DAGGER, dcGOR, dclone, dhglm, distrom, dmm, dosresmeta, DoubleCone, dualScale, EMCluster, EMMREML, epoc, excursions, expm, FAiR, fanc, fastclime, fastcox, fda, FENmlm, fExpressCertificates, FindIt, flare, frailtyHL, FSInteract, FTICRMS, GAMBoost, gamlr, gamm4, gcdnet, gdistance, geeM, genlasso, GenOrd, GeoDE, geostatsp, gettingtothebottom, glmm, glmnet, gptk, GPvam, GrassmannOptim, growthrate, grpreg, grpregOverlap, gskat, gvcm.cat, gwerAM, hglm, hglm.data, HiCfeat, highriskzone, HiPLARM, hts, huge, ibmdbR, inarmix, IPMpack, irlba, isotonic.pen, ivmodel, kinship2, klin, lassoscore, ldr, lfe, lme4, lmerTest, logcondiscr, longpower, LPmerge, LSC, lsgl, mapfit, Matrix.utils, mclogit, MCMCglmm, mdhglm, MDPtoolbox, mediation, MEET, mefa4, MESS, metafor, Metatron, mht, mi, MIIVsem, minque, MMS, msda, msgl, multiAssetOptions, MultiOrd, mvglmmRank, nadiv, netcoh, nonlinearTseries, OpenMx, optimbase, ORDER2PARENT, orderedLasso, OrdNor, PCovR, pedgene, pedigree, pedigreemm, penDvine, phmm, picasso, PivotalR, PoisBinNonNor, PoisBinOrd, PoisBinOrdNonNor, PoisBinOrdNor, PoisNonNor, PoisNor, PRISMA, ProbitSpatial, PROFANCY, qgtools, qlcMatrix, qpcR, QRM, quadrupen, qut, R2STATS, ramps, rCUR, RealVAMS, REBayes, recommenderlab, reglogit, REREFACT, RFGLS, RGENERATEPREC, rmatio, Rmosek, RMRAINGEN, RNewsflow, robustlmm, rsggm, SALES, sdwd, sensory, sglasso, sglOptim, sGPCA, skatMeta, smam, SML, softImpute, sommer, SOR, spacejam, sparseMVN, spatialprobit, SpatioTemporal, spdep, speedglm, sSDR, ssfa, svcm, sybil, sybilccFBA, sybilcycleFreeFlux, sybilEFBA, sybilSBML, systemfit, textir, textmineR, TimeProjection, tmvtnorm, TreePar, trustOptim, ViSiElse, wfe
Reverse imports: afex, AICcmodavg, apcluster, basefun, benchmarkme, BigQuic, BinOrdNonNor, biom, blockseg, bootnet, brms, btergm, btf, BTYD, cape, ChainLadder, CluMix, coalescentMCMC, codingMatrices, CollocInfer, comato, CompareCausalNetworks, copula, CorReg, Countr, covmat, coxinterval, coxme, CRF, Crossover, ctmm, ctsem, DDD, DESP, diffusionMap, dmt, dnet, DNMF, doBy, dplR, DRaWR, ECOSolveR, EFDR, ergm, eRm, eva, evolqg, expoRkit, ez, face, fdapace, FDboost, FeatureHashing, FREGAT, funcy, GENLIB, geomorph, GFD, glm.ddR, glmmLasso, glmmsr, gMCP, gmum.r, gnm, goric, graphicalVAR, gRbase, growfunctions, hbm, hbsae, HDPenReg, hierarchicalDS, hierarchicalSets, hisemi, HLMdiag, igraph, influence.ME, influenceR, INLABMA, intercure, IsingFit, kknn, LANDD, LassoBacktracking, lgcp, LICORS, LMERConvenienceFunctions, lpbrim, LPR, ltmle, marked, markovchain, MatrixModels, mboost, medflex, metafuse, metagear, metaMix, metaSEM, mgcv, midasr, mistral, mme, Morpho, moult, MRIaggr, multibiplotGUI, multimark, MuMIn, netClass, nettools, neuroim, nmfgpu4R, NORTARA, optBiomarker, optismixture, ordinal, PBImisc, pbkrtest, PEIP, PenCoxFrail, perARMA, PerFit, pez, phangorn, phia, phylocurve, pi0, polywog, popgraph, powerplus, prozor, pvclass, qgraph, qrjoint, quanteda, quantreg, R2MLwiN, randomForest.ddR, randomLCA, rankFD, RcppEigen, refund, repolr, RevEcoR, rmgarch, robustreg, rodd, Rphylopars, RSiena, rsig, RSpectra, rstanarm, RVFam, RVPedigree, scam, SCGLR, scidb, ScreenClean, scrubr, scs, SemiParSampleSel, seqHMM, seqMeta, SHLR, SID, simcausal, SimInf, sirt, sjmisc, smart, smint, SMNCensReg, spacom, spaMM, sparsebnUtils, sparseHessianFD, sparsesvd, sparsevar, spatgraphs, spatstat, spatsurv, sphet, splm, stm, stocc, strum, superbiclust, surveillance, survival, SwarmSVM, synlik, text2vec, threeboost, threejs, tidytext, TMB, tmlenet, tmle.npvi, tsDyn, umx, varComp, VCA, xgboost, XGR, XMRF
Reverse linking to: cplm, geostatsp, Rmosek, TMB
Reverse suggests: AdaptiveSparsity, blockmodeling, car, CARBayes, cccd, ChoiceModelR, classGraph, corrgram, ddR, dils, discSurv, e1071, ESEA, extraTrees, eyetrackingR, fGarch, flacco, gap, gcbd, gear, gemtc, gmodels, hdi, HSAUR, HSAUR2, lava, lda, lfactors, loe, matrixpls, mefa, mlt.docreg, NCmisc, neat, PAGI, pcalg, pergola, pnea, prc, rARPACK, rattle, RcppArmadillo, R.matlab, Rmpfr, rmumps, robustbase, robustvarComp, rstan, sfsmisc, solarius, SpaDES, spam, sprint, sptm, srvyr, stabledist, survey, SweaveListingUtils, tableone, tscount
Reverse enhances: coop, Rcplex, Rcsdp, skmeans, slam