Applications of Empirical Dynamic Modeling from Time Series

block_3sp | Time series for a three-species coupled model. |

block_gp | Perform generalized forecasting using Gaussian processes |

block_lnlp | Perform generalized forecasting using simplex projection or... |

ccm | Perform convergent cross mapping using simplex projection |

ccm_means | Take output from ccm and compute means as a function of... |

compute_stats | Compute performance metrics for predictions |

e054_succession | Succession data at the Cedar Creek LTER |

e120_biodiversity | Biodiversity data at the Cedar Creek LTER |

make_block | Make a lagged block for multiview |

make_surrogate_data | Generate surrogate data for permutation/randomization tests |

multiview | Perform forecasting using multiview embedding |

paramecium_didinium | Time series for the Paramecium-Didinium laboratory experiment |

rEDM | Applications of empirical dynamic modeling from time series. |

sardine_anchovy_sst | Time series for the California Current Anchovy-Sardine-SST... |

simplex | Perform univariate forecasting |

sockeye_returns | Time series for sockeye salmon returns. |

tde_gp | Perform univariate forecasting using Gaussian processes |

tentmap_del | Time series for a tent map with mu = 2. |

test_nonlinearity | Randomization test for nonlinearity using S-maps and... |

thrips_block | Apple-blossom Thrips time series |

two_species_model | Time series for a two-species coupled model. |

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