A new implementation of EDM algorithms based on research software previously developed for internal use in the Sugihara Lab (UCSD/SIO). Contains C++ compiled objects that use time delay embedding to perform state-space reconstruction and nonlinear forecasting and an R interface to those objects using 'Rcpp'. It supports both the simplex projection method from Sugihara & May (1990) <DOI:10.1038/344734a0> and the S-map algorithm in Sugihara (1994) <DOI:10.1098/rsta.1994.0106>. In addition, this package implements convergent cross mapping as described in Sugihara et al. (2012) <DOI:10.1126/science.1227079> and multiview embedding as described in Ye & Sugihara (2016) <DOI:10.1126/science.aag0863>.
|Author||Hao Ye [aut, cre], Adam Clark [aut], Ethan Deyle [aut], Oliver Keyes [ctb], George Sugihara [ctb, ccp]|
|Date of publication||2016-11-16 01:53:45|
|Maintainer||Hao Ye <firstname.lastname@example.org>|
block_3sp: Time series for a three-species coupled model.
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.
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.