divergence: Returns the rate of divergence of close trajectories needed...
In nonlinearTseries: Nonlinear Time Series Analysis
Description
Usage
Arguments
Value
See Also
Description
Returns the rate of divergence of close trajectories needed for the maximum
Lyapunov exponent estimation.
Usage
1
divergence(x)
Arguments
x
A maxLyapunov object.
Value
A numeric matrix representing the time in which the divergence of
close trajectories was computed. Each row represents an embedding dimension
whereas that each column represents an specific moment of time.
See Also
nonlinearTseries documentation built on May 2, 2019, 5:47 p.m.
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Description Usage Arguments Value See Also
Description
Returns the rate of divergence of close trajectories needed for the maximum Lyapunov exponent estimation.
Usage
1 | divergence(x)
|
Arguments
x |
A maxLyapunov object. |
Value
A numeric matrix representing the time in which the divergence of close trajectories was computed. Each row represents an embedding dimension whereas that each column represents an specific moment of time.
See Also
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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