TentMapNoise

First-differenced time series generated from the tent map
 recurrence relation with mu = 2 and random noise.

datasets

An implementation of 'EDM' algorithms based on research software developed for internal use at the Sugihara Lab ('UCSD/SIO'). The package is implemented with 'Rcpp' wrappers around the 'cppEDM' library. It implements the 'simplex' projection method from Sugihara & May (1990) <doi:10.1038/344734a0>, the 'S-map' algorithm from Sugihara (1994) <doi:10.1098/rsta.1994.0106>, convergent cross mapping described in Sugihara et al. (2012) <doi:10.1126/science.1227079>, and, 'multiview embedding' described in Ye & Sugihara (2016) <doi:10.1126/science.aag0863>.

Joseph Park

rEDM

Empirical Dynamic Modeling ('EDM')

Cameron Smith

George Sugihara

Ethan Deyle

Erik Saberski

Hao Ye

The Regents of the University of California 

TentMapNoise function

Data frame with 999 rows and 2 columns<dl>
 <dt><code>Time</code></dt>
<dd>time index.</dd> <dt><code>TentMap</code></dt>
<dd>tent map values.</dd>
</dl>

Format

Time series of tent map plus noise. — TentMapNoise

Data frame with 999 rows and 2 columns<dl>
 <dt><code>Time</code></dt>
<dd>time index.</dd>

 <dt><code>TentMap</code></dt>
<dd>tent map values.</dd>


</dl>

TentMapNoise: Time series of tent map plus noise.

Description

Usage

Arguments

Format