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 3.2.0). 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.

Version: 0.3.2.1.1
Depends: R (≥ 2.15.1)
Imports: Matrix (≥ 1.1-0), Rcpp (≥ 0.11.0)
LinkingTo: Rcpp
Suggests: inline, RUnit
Published: 2014-03-07
Author: Douglas Bates, Romain Francois and Dirk Eddelbuettel; the authors of Eigen for the included version of Eigen
Maintainer: Dirk Eddelbuettel <edd at debian.org>
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://eigen.tuxfamily.org
NeedsCompilation: yes
Citation: RcppEigen citation info
Materials: README NEWS ChangeLog
In views: NumericalMathematics
CRAN checks: RcppEigen results

Downloads:

Reference manual: RcppEigen.pdf
Vignettes: RcppEigen-intro
Package source: RcppEigen_0.3.2.1.1.tar.gz
OS X binary: RcppEigen_0.3.2.1.1.tgz
Windows binary: RcppEigen_0.3.2.1.1.zip
Old sources: RcppEigen archive

Reverse dependencies:

Reverse depends: Rclusterpp, sparseHessianFD, trustOptim
Reverse imports: lme4, OmicKriging, sparseLTSEigen
Reverse linking to: blockcluster, clere, CorReg, FastHCS, FastPCS, FastRCS, Funclustering, gRbase, lme4, MPTinR, PReMiuM, Rankcluster, rARPACK, Rclusterpp, Rvcg, sparseHessianFD, sparseLTSEigen, trustOptim
Reverse suggests: MPTinR