rARPACK is an R wrapper of the ARPACK library (http://www.caam.rice.edu/software/ARPACK/) to solve large scale eigenvalue/vector problems. It is typically used to compute a few eigenvalues/vectors of an n by n matrix, e.g., the k largest eigenvalues, which is usually more efficient than eigen() if k << n. This package provides the eigs() function which does the similar job as in Matlab, Octave, Python SciPy and Julia. It also provides the svds() function to calculate the largest k singular values and corresponding singular vectors of a real matrix. Matrices can be given in either dense or sparse form.

Version: | 0.7-0 |

Depends: | R (≥ 3.0.2) |

Imports: | Matrix (≥ 1.1-0), Rcpp (≥ 0.11.0) |

LinkingTo: | Rcpp, RcppEigen (≥ 0.3.2.2.0) |

Published: | 2014-11-03 |

Author: | Yixuan Qiu, Jiali Mei and authors of the ARPACK library. See file AUTHORS for details. |

Maintainer: | Yixuan Qiu <yixuan.qiu at cos.name> |

BugReports: | https://github.com/yixuan/rARPACK/issues |

License: | BSD_3_clause + file LICENSE |

Copyright: | see file COPYRIGHTS |

URL: | https://github.com/yixuan/rARPACK |

NeedsCompilation: | yes |

Citation: | NA |

Materials: | NA |

In views: | NumericalMathematics |

CRAN checks: | rARPACK results |

Reference manual: | rARPACK.pdf |

Package source: | rARPACK_0.7-0.tar.gz |

Windows binaries: | r-devel: rARPACK_0.7-0.zip, r-release: rARPACK_0.7-0.zip, r-oldrel: rARPACK_0.7-0.zip |

OS X Snow Leopard binaries: | r-release: rARPACK_0.7-0.tgz, r-oldrel: rARPACK_0.7-0.tgz |

OS X Mavericks binaries: | r-release: rARPACK_0.7-0.tgz |

Old sources: | rARPACK archive |