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