# Applications of Empirical Dynamic Modeling from Time Series

## Documentation for package ‘rEDM’ version 0.7.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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.