E1dAndE2d: E1dAndE2d: invariants E1(d) and E2(d)
In KarsTS: An Interface for Microclimate Time Series Analysis
Description
Author(s)
References
Description
This function uses the function nonlinearTseries::estimateEmbeddingDim to plot the invariants E1(d) and E2(d) (Cao,1997). E1(d) helps finding the embedding dimension of a scalar time series and E2(d) can distinguish stochastic from deterministic signals.It is used through the button E1d & E2d in the Plots Menu.
Author(s)
Marina Saez Andreu
References
Cao, L (1997): Practical method for determining the minimum embedding dimension of a scalar time series. Physica D: Nonlinear Phenomena, 110,1, pp. 43-50.
KarsTS documentation built on Jan. 16, 2021, 5:07 p.m.
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Description Author(s) References
Description
This function uses the function nonlinearTseries::estimateEmbeddingDim to plot the invariants E1(d) and E2(d) (Cao,1997). E1(d) helps finding the embedding dimension of a scalar time series and E2(d) can distinguish stochastic from deterministic signals.It is used through the button E1d & E2d in the Plots Menu.
Author(s)
Marina Saez Andreu
References
Cao, L (1997): Practical method for determining the minimum embedding dimension of a scalar time series. Physica D: Nonlinear Phenomena, 110,1, pp. 43-50.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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