Classes and methods for dense and sparse matrices and
operations on them using LAPACK and SuiteSparse.
| Version: |
1.1-5 |
| Priority: |
recommended |
| Depends: |
R (≥ 2.15.2), methods |
| Imports: |
graphics, grid, stats, utils, lattice |
| Suggests: |
expm, MASS |
| Enhances: |
MatrixModels, graph, SparseM, sfsmisc |
| Published: |
2015-01-18 |
| 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 |
| Reverse depends: |
adaptMCMC, adaptsmoFMRI, agop, ahaz, arm, arules, bayesGDS, bc3net, BCE, BDgraph, bigdata, BinNonNor, BinNor, boss, cAIC4, camel, cherry, CLSOCP, covLCA, CoxBoost, coxinterval, coxme, cplm, cqrReg, crqa, CVST, cvxclustr, DAGGER, dcGOR, dhglm, distrom, dosresmeta, DoubleCone, dualScale, EMMREML, epoc, excursions, expm, FAiR, fanc, fastclime, fastcox, fda, fExpressCertificates, flare, frailtyHL, FTICRMS, GAMBoost, gamlr, gamm4, gcdnet, gdistance, geeM, genlasso, GenOrd, GeoDE, geostatsp, gettingtothebottom, glmnet, gptk, GPvam, GrassmannOptim, growthrate, grpreg, gskat, gvcm.cat, gwerAM, hglm, hglm.data, HiPLARM, huge, inarmix, IPMpack, isotonic.pen, kinship2, klin, lassoscore, ldr, lfe, lme4, lmerTest, loe, logcondiscr, longpower, LPmerge, LSC, lsgl, mclogit, MCMCglmm, MDPtoolbox, mediation, MEET, mefa4, MESS, Metatron, minque, MMS, msda, msgl, msr, multiAssetOptions, MultiOrd, mvglmmRank, nadiv, nonlinearTseries, optimbase, ORDER2PARENT, orderedLasso, OrdNor, PBImisc, PCovR, pedgene, pedigree, pedigreemm, penDvine, phmm, picasso, PivotalR, PoisBinOrd, PoisNor, powerr, PRISMA, PROFANCY, qgtools, qlcMatrix, qpcR, QRM, quadrupen, R2STATS, ramps, rCUR, RealVAMS, REBayes, recommenderlab, reglogit, RFGLS, RGENERATEPREC, rmatio, Rmosek, RMRAINGEN, robustlmm, sdwd, sensory, sglasso, sglOptim, sGPCA, SINGLE, skatMeta, smam, SML, softImpute, SOR, spacejam, sparseHessianFD, sparseMVN, spatialprobit, SpatioTemporal, spdep, speedglm, StableEstim, stocc, svcm, sybil, sybilccFBA, sybilcycleFreeFlux, sybilEFBA, sybilSBML, systemfit, textir, TimeProjection, tmvtnorm, TreePar, trustOptim, wfe |
| Reverse imports: |
afex, AICcmodavg, apcluster, BinOrdNonNor, biom, btf, BTYD, cape, ChainLadder, coalescentMCMC, CollocInfer, comato, copula, CorReg, CRF, Crossover, diffusionMap, dmt, dnet, doBy, EFDR, ergm, eRm, expoRkit, ez, FDboost, FeatureHashing, GENLIB, gMCP, gnm, goric, gRbase, growfunctions, hbm, hbsae, hierarchicalDS, hisemi, HLMdiag, igraph, influence.ME, INLABMA, irlba, IsingFit, kknn, lavaan.survey, lgcp, LICORS, LMERConvenienceFunctions, lsmeans, marked, markovchain, MatrixModels, mboost, metafor, metaMix, mgcv, mi, midasr, mistral, mme, Morpho, moult, NAM, netClass, nettools, neuroim, NORTARA, optBiomarker, ordinal, pbkrtest, PEIP, perARMA, phangorn, pi0, polywog, popgraph, pvclass, qgraph, QuasiSeq, rARPACK, RcppEigen, refund, rmgarch, robustreg, rodd, RSiena, rsig, scam, SCGLR, scidb, ScreenClean, SemiParBIVProbit, SemiParSampleSel, seqMeta, sirt, smart, SMNCensReg, spacom, spaMM, spatsurv, sphet, splm, SPMS, stm, strum, superbiclust, surveillance, synlik, threeboost, tmle.npvi, tsDyn, varComp, xergm, xgboost |
| Reverse linking to: |
cplm, Rmosek |
| Reverse suggests: |
AdaptiveSparsity, blockmodeling, car, CARBayes, cccd, ChoiceModelR, classGraph, corrgram, dils, e1071, ESEA, extraTrees, fGarch, gcbd, gemtc, gmodels, HSAUR, HSAUR2, lava, lda, matrixpls, medflex, mefa, PAGI, pcalg, prc, quantreg, rattle, RcppArmadillo, R.matlab, Rmpfr, robustbase, robustvarComp, sfsmisc, sjPlot, spam, spatgraphs, spatstat, sprint, sptm, stabledist, survey, SweaveListingUtils |
| Reverse enhances: |
Rcplex, Rcsdp, skmeans, slam |