RcppEigen: 'Rcpp' Integration for the 'Eigen' Templated Linear Algebra Library

R and 'Eigen' integration using 'Rcpp'. 'Eigen' is a C++ template library for linear algebra: matrices, vectors, numerical solvers and related algorithms. It supports dense and sparse matrices on integer, floating point and complex numbers, decompositions of such matrices, and solutions of linear systems. Its performance on many algorithms is comparable with some of the best implementations based on 'Lapack' and level-3 'BLAS'. The 'RcppEigen' package includes the header files from the 'Eigen' C++ template library (currently version 3.3.4). Thus users do not need to install 'Eigen' itself in order to use 'RcppEigen'. Since version 3.1.1, 'Eigen' is licensed under the Mozilla Public License (version 2); earlier version were licensed under the GNU LGPL version 3 or later. 'RcppEigen' (the 'Rcpp' bindings/bridge to 'Eigen') is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.

Depends: R (≥ 2.15.1)
Imports: Matrix (≥ 1.1-0), Rcpp (≥ 0.11.0), stats, utils
LinkingTo: Rcpp
Suggests: inline, RUnit, pkgKitten
Published: 2018-02-07
Author: Douglas Bates, Dirk Eddelbuettel, Romain Francois, and Yixuan Qiu; the authors of Eigen for the included version of Eigen
Maintainer: Dirk Eddelbuettel <edd at debian.org>
BugReports: https://github.com/RcppCore/RcppEigen/issues
License: GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE]
Copyright: See the file COPYRIGHTS for various Eigen copyright details
RcppEigen copyright details
URL: http://dirk.eddelbuettel.com/code/rcpp.eigen.html
NeedsCompilation: yes
Citation: RcppEigen citation info
Materials: README NEWS ChangeLog
In views: NumericalMathematics
CRAN checks: RcppEigen results


Reference manual: RcppEigen.pdf
Vignettes: RcppEigen-intro
Package source: RcppEigen_0.
Windows binaries: r-devel: RcppEigen_0., r-release: RcppEigen_0., r-oldrel: RcppEigen_0.
OS X El Capitan binaries: r-release: RcppEigen_0.
OS X Mavericks binaries: r-oldrel: RcppEigen_0.
Old sources: RcppEigen archive

Reverse dependencies:

Reverse depends: Rclusterpp
Reverse imports: bigstep, brainGraph, fmriqa, RNOmni, sparseLTSEigen, valuer
Reverse linking to: acrt, ADMMnet, APML0, BacArena, basad, BayesFactor, bayesLopod, beanz, BeSS, bigFastlm, bigtime, BigVAR, blackbox, bmlm, breathteststan, btf, BVSNLP, clere, CorReg, covafillr, Coxnet, cpgen, CVXR, Cyclops, DDRTree, DetMCD, DetR, dfpk, DiffNet, diffusr, discretecdAlgorithm, Eagle, eggCounts, estimatr, FastGP, FastHCS, fastLink, FastPCS, FastRCS, fdapace, fdaPDE, flars, Funclustering, fuser, gastempt, gaston, gllvm, glmmsr, glmmTMB, gpuR, gRain, graphkernels, gRbase, grf, hts, ICAOD, icenReg, idealstan, idem, interp, iprior, ISOpureR, JSM, JumpTest, kernDeepStackNet, kmcudaR, lime, lme4, lslx, MADPop, MAINT.Data, MCMCprecision, MediaK, meshsimp, microclass, MPTinR, mrfDepth, nabor, NCutYX, nlmixr, oem, OpenMx, perccal, plac, popkin, PReMiuM, ProbitSpatial, PUlasso, ranger, Rankcluster, raptr, RBesT, Rclusterpp, RcppNumerical, rEDM, rENA, rIsing, RNiftyReg, RobustGaSP, robustlmm, rootWishart, rpf, RSNPset, RSpectra, rstan, rstanarm, Rvcg, rvinecopulib, RZigZag, saturnin, serrsBayes, Seurat, SmartSVA, spaMM, sparseHessianFD, sparseLTSEigen, sptemExp, StepReg, SuperGauss, survHE, TDA, TMB, tmbstan, tmg, treatSens, trialr, trustOptim, vennLasso, walker, walkr
Reverse suggests: bridgesampling, estimatr, RcppNumerical, rstan, StanHeaders


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