embeddingDims

Get the embedding dimensions used for compute a chaotic invariant.

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

embeddingDims function

<dl><dt>x</dt>
<dd>An object containing all the information needed for the estimate.</dd></dl>

Arguments

Author

Get the embedding dimensions used for compute a chaotic invariant. — embeddingDims

<dl>

<dt>x</dt>
<dd>An object containing all the information needed for the estimate.</dd>

</dl>

embeddingDims: Get the embedding dimensions used for compute a chaotic invariant.

Description

Usage

Value

Arguments

Author

References