Rcpp integration for the Eigen templated linear algebra library
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eddelbuettel Merge pull request #56 from michaelweylandt/mw/update_armadillo_call_…
…in_lmBenchmark

Update call to RcppArmadillo_fastLm_impl
Latest commit 19ce275 May 30, 2018

README.md

RcppEigen

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Overview

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.

Status

The package is reasonably mature and under active development, following the Eigen release cycle.

Documentation

The package contains a pdf vignette which is a pre-print of the paper by Bates and Eddelbuettel in JSS (2013, v52i05).

Authors

Douglas Bates, Dirk Eddelbuettel, Romain Francois, and Yixuan Qiu

License

GPL (>= 2)