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Empirical Dynamic Modeling (EDM)


C++ implementation of EDM tools.

Functionality includes:

  • Simplex projection (Sugihara and May 1990)
  • Sequential Locally Weighted Global Linear Maps (S-map) (Sugihara 1994)
  • Multivariate embeddings (Dixon et. al. 1999)
  • Convergent cross mapping (Sugihara et. al. 2012)
  • Multiview embedding (Ye and Sugihara 2016)

A C++17 standard compiler and the LAPACK library are needed to build cppEDM by running make in the src/ directory. This copies libEDM.a into the lib/ directory, where it can be linked to user applications. EDM functions are accessed from the libEDM.a library through the API described in the documentation or in API.h. Example invocations can be found in Test.cc and tests/.


References

Sugihara G. and May R. 1990. Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series. Nature, 344:734–741.

Sugihara G. 1994. Nonlinear forecasting for the classification of natural time series. Philosophical Transactions: Physical Sciences and Engineering, 348 (1688) : 477–495.

Dixon, P. A., M. Milicich, and G. Sugihara, 1999. Episodic fluctuations in larval supply. Science 283:1528–1530.

Sugihara G., May R., Ye H., Hsieh C., Deyle E., Fogarty M., Munch S., 2012. Detecting Causality in Complex Ecosystems. Science 338:496-500.

Ye H., and G. Sugihara, 2016. Information leverage in interconnected ecosystems: Overcoming the curse of dimensionality. Science 353:922–925.