## multispatialCCM: Multispatial Convergent Cross Mapping

The multispatial convergent cross mapping algorithm can be used as a test for causal associations between pairs of processes represented by time series. This is a combination of convergent cross mapping (CCM), described in Sugihara et al., 2012, Science, 338, 496-500, and dew-drop regression, described in Hsieh et al., 2008, American Naturalist, 171, 71–80. The algorithm allows CCM to be implemented on data that are not from a single long time series. Instead, data can come from many short time series, which are stitched together using bootstrapping.

Version: |
1.0 |

Depends: |
R (≥ 3.0.2) |

Published: |
2014-10-19 |

Author: |
Adam Clark |

Maintainer: |
Adam Clark <adam.tclark at gmail.com> |

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

NeedsCompilation: |
yes |

CRAN checks: |
multispatialCCM results |

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