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).

Nonlinear Time Series Analysis

package-ubuntu-20.04-r-4.0.5#cran#nonlinearTseries-0.2.10

Returns the window sizes used for DFA in a dfa object.

<table summary="R argblock"><tr valign="top">
<td><code>x</code></td>
<td>
A dfa object.
</td>
</tr></table>

The windowSizes function returns the windows sizes used
to detrend the time series in the DFA.

package-ubuntu-20.04-r-4.0.5#cran#nonlinearTseries-0.2.10#docs#windowSizes

windowSizes

Description

Usage

Arguments

Value

See Also

nonlinearTseries

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