divergence

Returns the rate of divergence of close trajectories needed for the maximum 
Lyapunov exponent estimation.

Functions for nonlinear time series analysis. This package permits
the computation of the  most-used nonlinear statistics/algorithms
including generalized correlation dimension, information dimension,
largest Lyapunov exponent, sample entropy and Recurrence
Quantification Analysis (RQA), among others. Basic routines
for surrogate data testing are also included. Part of this work
was based on the  book "Nonlinear time series analysis" by
Holger Kantz and Thomas Schreiber (ISBN: 9780521529020).

Constantino A. Garcia

nonlinearTseries

Nonlinear Time Series Analysis

Gunther Sawitzki

divergence function

<dl><dt>x</dt>
<dd>A maxLyapunov object.</dd></dl>

Arguments

Returns the rate of divergence of close trajectories needed for the maximum 
Lyapunov exponent estimation. — divergence

<dl>

<dt>x</dt>
<dd>A maxLyapunov object.</dd>

</dl>

divergence: Returns the rate of divergence of close trajectories needed for the maximum Lyapunov exponent estimation.

Description

Usage

Value

Arguments

See Also