Figure_1                Eye-movement categorical time-series
Figure_2                A unidimensional sinusoidal time series
Figure_3                Simulated time series of the three dimensions
                        from the Lorenz system
Figure_6                Figure_6
aRQA                    Approximative Recurrence Quantification
                        Analysis
crqa                    Auto, cross and multidimensional recurrence
                        measures of one, two or multiple time-series,
                        time-delayed and embedded in higher dimensional
                        space
crqa-package            Unidimensional and Multidimensional Methods for
                        Recurrence Quantification Analysis
drpfromts               Diagonal recurrence profile
eyemovement             Eye-movement categorical time-series
handmovement            Continuous series of hand movements
lorenzattractor         Simulate the Lorenz Attractor
mdDelay                 Find optimal delay from a multi-dimensional
                        dataset.
mdFnn                   Find optimal embedding dimension of a
                        multi-dimensional dataset.
optimizeParam           Estimate optimal delay, embedding dimension and
                        radius for continuous time-series data
piecewiseRQA            Compute recurrence plots for long time-series
                        data series using a block (piece-wise) method.
plot_rp                 Plot a recurrence matrix
rosslerattractor        Simulate a Roessler attractor
simts                   Simulate dichotomous binary time-series
spdiags                 Extract diagonal matrices
text                    Categorical sequence of words
theiler_exclusion       Number of cells excluded by a Theiler window
wincrqa                 Windowed Recurrence Measures
windowdrp               Windowed Recurrence Profile
