Main software features:

• Pattern and determinism recognition in the time series using recurrence plot, which is essentially a graphical representation of the correlation integral in such a way so that the temporal dependence in the system under study is preserved
• Dynamic recurrence quantification analysis (RQA) for recurrence plots classification and characterization: analyze stationarity, periodicity, determinism, and complexity of the dynamical system as it evolves in time
• Recurrence plots animation: see the dynamical system trajectories stretch and unfold in real time
• Average Mutual Information
• False Nearest Neighbors
• Correlation dimension calculations
• Nonparametric modeling for nonlinear time series prediction. A wide variety of models and options is available, including nearest neighbor, locally constant, locally linear, locally weighted linear, kernel regression, and radial basis functions models
• Noise reduction
• Phase space chart, recurrence histogram
• Sample data sets (periodic, chaotic, and random)
• Extended help and references

Installation:

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