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: 1.1-3
Priority: recommended
Depends: R (≥ 2.15.2), methods
Imports: graphics, grid, stats, utils, lattice
Suggests: expm, MASS
Enhances: MatrixModels, graph, SparseM, sfsmisc
Published: 2014-03-31
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 [expanded from: GPL (≥ 2)]
URL: http://Matrix.R-forge.R-project.org/
NeedsCompilation: yes
Materials: ChangeLog
In views: Econometrics, Multivariate, NumericalMathematics, SocialSciences
CRAN checks: Matrix results

Downloads:

Reference manual: Matrix.pdf
Package source: Matrix_1.1-3.tar.gz
OS X binary: Matrix_1.1-3.tgz
Windows binary: Matrix_1.1-3.zip
Old sources: Matrix archive

Reverse dependencies:

Reverse depends: adaptMCMC, adaptsmoFMRI, agop, ahaz, arm, arules, bayesGDS, bc3net, bigdata, BinNor, boss, BTYD, camel, CLSOCP, CountsEPPM, covLCA, CoxBoost, coxme, cplm, crqa, CVST, DAGGER, dhglm, distrom, dosresmeta, DoubleCone, dualScale, DWD, EMMREML, epoc, excursions, expm, factas, FAiR, fanc, fastclime, fastcox, fda, fExpressCertificates, flare, frailtyHL, FTICRMS, GAMBoost, gamlr, gamlss.util, gamm4, gcdnet, gdistance, geeM, genlasso, GenOrd, geostatsp, gettingtothebottom, glmnet, goric, gptk, GPvam, GrassmannOptim, growthrate, grpreg, gskat, gvcm.cat, gwerAM, hglm, hierarchicalDS, HiPLARM, huge, inarmix, IPMpack, isotonic.pen, kinship2, klin, LargeRegression, ldr, lfe, lme4, LMERConvenienceFunctions, lmerTest, LMest, loe, logcondiscr, longpower, LPmerge, LSC, lsgl, MatrixModels, mclogit, MCMCglmm, MDPtoolbox, mediation, MEET, mefa4, Metatron, minque, mme, MMS, msgl, msr, MultiOrd, nadiv, nonlinearTseries, optimbase, ORDER2PARENT, OrdNor, PBImisc, PCovR, pedgene, pedigree, pedigreemm, penDvine, PenLNM, phmm, PivotalR, PoisNor, polywog, PRISMA, PROFANCY, pvclass, QRM, quadrupen, R2STATS, ramps, rCUR, REBayes, recommenderlab, reglogit, RFGLS, rmatio, Rmosek, robustlmm, sglasso, sglOptim, sGPCA, SINGLE, skatMeta, smam, SML, SMNCensReg, softImpute, spacejam, sparseHessianFD, sparseMVN, SpatialEpi, spatialprobit, SpatioTemporal, spdep, speedglm, splm, StableEstim, stocc, svcm, sybil, sybilccFBA, sybilcycleFreeFlux, sybilEFBA, sybilSBML, systemfit, textir, TimeProjection, tmvtnorm, TreePar, trustOptim, wfe
Reverse imports: biom, cape, ChainLadder, coalescentMCMC, CollocInfer, comato, copula, CorReg, diffusionMap, dmt, dnet, doBy, ergm, eRm, expoRkit, ez, FDboost, gMCP, gnm, gRbase, hbsae, hisemi, HLMdiag, igraph, influence.ME, INLABMA, irlba, IsingFit, kknn, lavaan.survey, lgcp, LICORS, lsmeans, marked, markovchain, mboost, mgcv, mi, mistral, Morpho, netClass, neuroim, optBiomarker, ordinal, pbkrtest, PEIP, perARMA, phangorn, pi0, popgraph, ppstat, qgraph, QuasiSeq, rARPACK, RcppEigen, refund, rmgarch, RSiena, rsig, scam, SCGLR, scidb, ScreenClean, SemiParBIVProbit, SemiParSampleSel, seqMeta, smart, spacom, spaMM, spatsurv, spfrontier, sphet, SPMS, structSSI, superbiclust, surveillance, synlik, tsDyn, varComp
Reverse linking to: cplm, Rmosek
Reverse suggests: AdaptiveSparsity, AICcmodavg, blockmodeling, CARBayes, cccd, ChoiceModelR, classGraph, dils, e1071, fGarch, gcbd, gemtc, gmodels, HSAUR, HSAUR2, lava, lda, mefa, MESS, metafor, PAGI, pcalg, quantreg, rattle, R.matlab, robustbase, sfsmisc, spam, spatgraphs, stabledist, stm, survey, SweaveListingUtils
Reverse enhances: Rcplex, Rcsdp, skmeans, slam