PlotObsPred

Base-graphics plot of Observations and Predictions against time.

hplot

An implementation of 'EDM' algorithms based on research software developed at the Sugihara Lab ('UCSD/SIO'). Primary methods include 'Simplex' projection from Sugihara & May (1990) <doi:10.1038/344734a0>, Sequential locally-weighted global linear maps 'S-map': 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' from Ye & Sugihara (2016) <doi:10.1126/science.aag0863>.

Joseph Park

rEDM

Empirical Dynamic Modeling ('EDM')

George Sugihara

Ethan Deyle

The Regents of the University of California 

PlotObsPred function

<dl><dt>df</dt>
<dd>A data.frame with a time column plus Observations and Predictions.</dd><dt>dataName</dt>
<dd>Optional label used in the plot title.</dd><dt>E</dt>
<dd>Embedding dimension.</dd><dt>Tp</dt>
<dd>Forecast interval (prediction horizon).</dd></dl>

Arguments

Plot observed versus predicted values — PlotObsPred

<dl>

<dt>df</dt>
<dd>A data.frame with a time column plus Observations and Predictions.</dd>

<dt>dataName</dt>
<dd>Optional label used in the plot title.</dd>

<dt>E</dt>
<dd>Embedding dimension.</dd>

<dt>Tp</dt>
<dd>Forecast interval (prediction horizon).</dd>

</dl>

PlotObsPred: Plot observed versus predicted values

Description

Usage

Value

Arguments