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tseriesChaos (version 0.1-10)

Analysis of nonlinear time series

Description

Routines for the analysis of nonlinear time series. This work is largely inspired by the TISEAN project, by Rainer Hegger, Holger Kantz and Thomas Schreiber: http://www.mpipks-dresden.mpg.de/~tisean/

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Version

Install

install.packages('tseriesChaos')

Monthly Downloads

2,657

Version

0.1-10

License

GPL-2

Maintainer

Antonio Fabio Di Narzo

Last Published

February 24th, 2010

Functions in tseriesChaos (0.1-10)

recurr

Recurrence plot
sim.cont

Simulates a continuous dynamic system
Lyapunov exponent

Tools to evaluate the maximal Lyapunov exponent of a dynamic system
rossler.ts

Roessler simulated time series, without noise
d2

Sample correlation integral (at multiple length scales)
lorenz.syst

Lorenz system
duffing.syst

Duffing oscillator
stplot

Space-time separation plot
plot.ami

Plotting average mutual information index
C2

Sample correlation integral
lorenz.ts

Lorenz simulated time series, without noise
print.false.nearest

Printing false nearest neighbours results
false.nearest

Method of false nearest neighbours
tseriesChaos-internal

Internal tseriesChaos objects
plot.false.nearest

Plotting false nearest neighbours results
plot.d2

Plotting sample correlation integrals
rossler.syst

Roessler system of equations
print.d2

Printing sample correlation integrals
embedd

Embedding of a time series
mutual

Average Mutual Information