Power spectral density estimates are produced through iterative refinement of the optimal number of sine-tapers at each frequency. The optimization procedure is based on the method of Riedel and Sidorenko (1995), which applies smoothing that varies with frequency to minimize the sum of variance and bias at each point.

Version: | 0.4-0 |

Depends: | R (≥ 2.14.1), stats, utils, graphics, grDevices, fftw (≥ 1.0-3) |

Imports: | RColorBrewer, signal, zoo |

Suggests: | bspec, ggplot2 (≥ 0.9), knitr, multitaper, plyr, RSEIS, rbenchmark, reshape2 |

Published: | 2013-09-20 |

Author: | Robert L. Parker and Andrew J. Barbour |

Maintainer: | Andrew J. Barbour <andy.barbour at gmail.com> |

License: | GPL-2 | GPL-3 [expanded from: GPL] |

URL: | http://abarbour.github.io/psd/ |

NeedsCompilation: | yes |

Citation: | psd citation info |

Materials: | NEWS |

In views: | TimeSeries |

CRAN checks: | psd results |

Reference manual: | psd.pdf |

Vignettes: |
DFT benchmarks: fft vs FFT. Normalization of power spectral density estimates. An overview of psd. |

Package source: | psd_0.4-0.tar.gz |

MacOS X binary: | psd_0.4-0.tgz |

Windows binary: | psd_0.4-0.zip |

Old sources: | psd archive |

Reverse suggests: | multitaper |