henon_x

<p>1000 x data points from the Henon Map</p>

datasets

Finds causal connections in precision data, finds lags and embeddings in
time series, guides training of neural networks and other smooth models, evaluates
their performance, gives a mathematically grounded answer to the over-training
problem.  Smooth regression is based on the Gamma test, which measures smoothness
in a multivariate relationship.  Causal relations are smooth, noise is not.
'sr' includes the Gamma test and search techniques that use it.
References: Evans & Jones (2002) <doi:10.1098/rspa.2002.1010>,
AJ Jones (2004) <doi:10.1007/s10287-003-0006-1>.

Wayne Haythorn

Smooth Regression - The Gamma Test and Tools

Antonia Jones

Sam Kemp

henon_x function

<p>An object of class <code>numeric</code> of length 1000.</p>

henon_x: Henon Map

Description

Usage

Arguments

Format

References

Examples