## wavemulcor: Wavelet routine for multiple correlation

Wavelet routines that calculate single sets of wavelet
multiple correlations and cross-correlations out of n variables
(either 1D time series, 2D images or 3D arrays). They can later
be plotted in single graphs, as an alternative to trying to
make sense out of several sets of wavelet correlations or
wavelet cross-correlations. The code is based on the
calculation, at each wavelet scale, of the square root of the
coefficient of determination in a linear combination of
variables for which such coefficient of determination is a
maximum. The code provided here is based on the
wave.correlation routine in Brandon Whitcher's waveslim R
package Version: 1.6.4, which in turn is based on wavelet
methodology developed in Percival and Walden (2000); Gencay,
Selcuk and Whitcher (2001) and others.

Version: |
1.2 |

Depends: |
waveslim |

Published: |
2012-10-29 |

Author: |
Javier Fernandez-Macho (UPV/EHU) |

Maintainer: |
Javier Fernandez-Macho <javier.fernandezmacho at ehu.es> |

License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |

NeedsCompilation: |
no |

CRAN checks: |
wavemulcor results |

#### Downloads:

#### Reverse dependencies: