| as.numeric.mutualInf | Average Mutual Information (AMI) | 
| buildTakens | Build the Takens' vectors | 
| cliffordMap | Clifford map | 
| contourLines | Obtain the contour lines of the space time plot. | 
| contourLines.spaceTimePlot | Space Time plot | 
| corrDim | Correlation sum, correlation dimension and generalized correlation dimension (order q >1). | 
| corrMatrix | Returns the correlation sums stored in the _corrDim_ object | 
| corrMatrix.corrDim | Correlation sum, correlation dimension and generalized correlation dimension (order q >1). | 
| dfa | Detrended Fluctuation Analysis | 
| divergence | Returns the rate of divergence of close trajectories needed for the maximum Lyapunov exponent estimation. | 
| divergence.maxLyapunov | Maximum lyapunov exponent | 
| divTime | Returns the time in which the divergence of close trajectories was computed in order to estimate the maximum Lyapunov exponent. | 
| divTime.maxLyapunov | Maximum lyapunov exponent | 
| embeddingDims | Get the embedding dimensions used for compute a chaotic invariant. | 
| embeddingDims.corrDim | Correlation sum, correlation dimension and generalized correlation dimension (order q >1). | 
| embeddingDims.infDim | Information dimension | 
| embeddingDims.maxLyapunov | Maximum lyapunov exponent | 
| embeddingDims.sampleEntropy | Sample Entropy (also known as Kolgomorov-Sinai Entropy) | 
| estimate | Estimate several chaotic invariants using linear regression | 
| estimate.corrDim | Correlation sum, correlation dimension and generalized correlation dimension (order q >1). | 
| estimate.dfa | Detrended Fluctuation Analysis | 
| estimate.infDim | Information dimension | 
| estimate.maxLyapunov | Maximum lyapunov exponent | 
| estimate.sampleEntropy | Sample Entropy (also known as Kolgomorov-Sinai Entropy) | 
| estimateEmbeddingDim | Estimate the embedding dimension | 
| FFTsurrogate | Generate surrogate data using the Fourier transform | 
| findAllNeighbours | neighbour search | 
| fixedMass | fixed mass | 
| fixedMass.infDim | Information dimension | 
| fluctuationFunction | Returns the fluctuation function obtained in a DFA and represented by a _dfa_ object. | 
| fluctuationFunction.dfa | Detrended Fluctuation Analysis | 
| gaussMap | Gauss map | 
| getContourLines | Obtain the contour lines of the space time plot. | 
| getContourLines.spaceTimePlot | Space Time plot | 
| henon | Henon map | 
| ikedaMap | Ikeda map | 
| infDim | Information dimension | 
| keenanTest | Keenan's test | 
| logisticMap | Logistic map | 
| logRadius | Obtain the the average log(radius) computed on the information dimension algorithm. | 
| logRadius.infDim | Information dimension | 
| lorenz | Lorenz system | 
| maxLyapunov | Maximum lyapunov exponent | 
| mcleodLiTest | McLeod-Li test | 
| mutualInformation | Average Mutual Information (AMI) | 
| neighbourSearch | neighbour search | 
| nlOrder | Get the order of the nonlinear chaotic invariant. | 
| nlOrder.corrDim | Correlation sum, correlation dimension and generalized correlation dimension (order q >1). | 
| nlOrder.sampleEntropy | Sample Entropy (also known as Kolgomorov-Sinai Entropy) | 
| nonlinearityTest | Nonlinearity test | 
| nonLinearNoiseReduction | Nonlinear noise reduction | 
| nonLinearPrediction | Nonlinear time series prediction | 
| plot.corrDim | Correlation sum, correlation dimension and generalized correlation dimension (order q >1). | 
| plot.dfa | Detrended Fluctuation Analysis | 
| plot.infDim | Information dimension | 
| plot.maxLyapunov | Maximum lyapunov exponent | 
| plot.mutualInf | Average Mutual Information (AMI) | 
| plot.sampleEntropy | Sample Entropy (also known as Kolgomorov-Sinai Entropy) | 
| plot.spaceTimePlot | Space Time plot | 
| plotLocalScalingExp | Plot local scaling exponents | 
| plotLocalScalingExp.corrDim | Correlation sum, correlation dimension and generalized correlation dimension (order q >1). | 
| plotLocalScalingExp.infDim | Information dimension | 
| poincareMap | Poincare map | 
| radius | Get the radius of the neighborhoods used for the computations of a chaotic invariant. | 
| radius.corrDim | Correlation sum, correlation dimension and generalized correlation dimension (order q >1). | 
| radius.sampleEntropy | Sample Entropy (also known as Kolgomorov-Sinai Entropy) | 
| recurrencePlot | Recurrence Plot | 
| rossler | Rossler system | 
| rqa | Recurrence Quantification Analysis (RQA) | 
| sampleEntropy | Sample Entropy (also known as Kolgomorov-Sinai Entropy) | 
| sampleEntropyFunction | Returns the sample entropy function h_q(m,r) used for the computations of the sample entropy. | 
| sampleEntropyFunction.sampleEntropy | Sample Entropy (also known as Kolgomorov-Sinai Entropy) | 
| sinaiMap | Sinai map | 
| spaceTimePlot | Space Time plot | 
| surrogateTest | Surrogate data testing | 
| thresholdTest | Threshold nonlinearity test | 
| timeAsymmetry | Time Reversibility statistic | 
| timeAsymmetry2 | Time Reversibility statistic | 
| timeLag | Estimate an appropiate time lag for the Takens' vectors | 
| tsayTest | Tsay's test | 
| windowSizes | Returns the window sizes used for DFA in a _dfa_ object. | 
| windowSizes.dfa | Detrended Fluctuation Analysis | 
| [.mutualInf | Average Mutual Information (AMI) | 
| [[.mutualInf | Average Mutual Information (AMI) |