Several chaotic invariants are estimated by using linear
regression. This function provides a common interface for
the estimate of all these parameters (see
`corrDim`

, `dfa`

and
`maxLyapunov`

for examples).

1 |

`x` |
An object containing all the information needed for the estimate. |

`regression.range` |
Range of values on the x-axis on which the regression is performed. |

`do.plot` |
Logical value. If TRUE (default value), a plot of the regression is shown. |

`...` |
Additional parameters. |

An estimate of the proper chaotic invariant.

Constantino A. Garcia

H. Kantz and T. Schreiber: Nonlinear Time series Analysis (Cambridge university press)

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.