Applications of Empirical Dynamic Modeling from Time Series


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Documentation for package ‘rEDM’ version 0.7.2

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rEDM-package 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 s-map
ccm Perform convergent cross mapping using simplex projection
ccm_means Take output from ccm and compute means as a function of library size.
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 system
simplex Perform univariate forecasting
sockeye_returns Time series for sockeye salmon returns.
s_map Perform univariate forecasting
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 surrogate data
thrips_block Apple-blossom Thrips time series
two_species_model Time series for a two-species coupled model.