Applications of Empirical Dynamic Modeling from Time Series

Documentation for package ‘rEDM’ version 0.4.7

rEDM-package	Applications of empirical dynamic modeling from time series.
BlockLNLP	C++ compiled object for multivariate forecasting.
block_3sp	Time series for a three-species coupled model.
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.
e054_succession	Succession data at the Cedar Creek LTER
e120_biodiversity	Biodiversity data at the Cedar Creek LTER
LNLP	C++ compiled object for univariate forecasting.
make_surrogate_data	Generate surrogate data for permutation/randomization tests
paramecium_didinium	Time series for the Paramecium-Didinium laboratory experiment
Rcpp_BlockLNLP-class	S4 class for Rcpp compiled object, "BlockLNLP"
Rcpp_LNLP-class	S4 class for Rcpp compiled object, "LNLP"
Rcpp_Xmap-class	S4 class for Rcpp compiled object, "Xmap"
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
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.
Xmap	C++ compiled object for convergent cross mapping.