RcppEigen (0.3.1.2.1)

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Rcpp integration for the Eigen templated linear algebra library..

http://eigen.tuxfamily.org
http://cran.r-project.org/web/packages/RcppEigen

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 3.1.0). Thus users do not need to install Eigen itself in order to use RcppEigen. . Eigen is licensed under the GNU LGPL version 3 or later, and also under the GNU GPL version 2 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.

Maintainer: Douglas Bates
Author(s): Douglas Bates, Romain Francois and Dirk Eddelbuettel

License: GPL (>= 2)

Uses: Matrix, Matrix, Rcpp, RUnit, inline, testthat
Reverse depends: gRbase, PReMiuM, Rclusterpp, sparseHessianFD, tmg, trustOptim

Released 3 months ago.

8 previous versions

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