Lorenz5D

5-D Lorenz'96 timeseries with F = 8.

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 

Lorenz5D function

Data frame with 1000 rows and 6 columns<dl class="dl-horizontal">
 <dt><code>Time</code></dt><dd>Time.</dd>
 <dt><code>V1</code></dt><dd>variable 1.</dd>
 <dt><code>V2</code></dt><dd>variable 2.</dd>
 <dt><code>V3</code></dt><dd>variable 3.</dd>
 <dt><code>V4</code></dt><dd>variable 4.</dd>
 <dt><code>V5</code></dt><dd>variable 5.</dd>
</dl>

Format

5-D Lorenz'96 — Lorenz5D

Data frame with 1000 rows and 6 columns<dl class='dl-horizontal'>
 <dt><code>Time</code></dt><dd>Time.</dd>
 <dt><code>V1</code></dt><dd>variable 1.</dd>
 <dt><code>V2</code></dt><dd>variable 2.</dd>
 <dt><code>V3</code></dt><dd>variable 3.</dd>
 <dt><code>V4</code></dt><dd>variable 4.</dd>
 <dt><code>V5</code></dt><dd>variable 5.</dd>
</dl>

Lorenz5D: 5-D Lorenz'96

Description

Usage

Arguments

Format

References