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) |