Lyapunov exponent
(Package: tseriesChaos) :
Tools to evaluate the maximal Lyapunov exponent of a dynamic system
Tools to evaluate the maximal Lyapunov exponent of a dynamic system from a univariate time series
● Data Source:
CranContrib
● Keywords: ts
● Alias: lyap, lyap_k
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Recurrence plot
● Data Source:
CranContrib
● Keywords: ts
● Alias: recurr
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Duffing oscillator system, to be used with sim.cont
● Data Source:
CranContrib
● Keywords: datagen
● Alias: duffing.syst
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embedd
(Package: tseriesChaos) :
Embedding of a time series
Embedding of a time series with provided time delay and embedding dimension parameters.
● Data Source:
CranContrib
● Keywords: manip
● Alias: embedd
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Printing method for objects inheriting from class '"false.nearest"'.
● Data Source:
CranContrib
● Keywords: ts
● Alias: print.false.nearest
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Method of false nearest neghbours to help deciding the optimal embedding dimension
● Data Source:
CranContrib
● Keywords: ts
● Alias: false.nearest
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Internal tseriesChaos objects.
● Data Source:
CranContrib
● Keywords: internal
● Alias: .Traceback, find_knearests, follow_points
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sim.cont
(Package: tseriesChaos) :
Simulates a continuous dynamic system
Simulates a dynamic system of provided ODEs
● Data Source:
CranContrib
● Keywords: datagen
● Alias: sim.cont
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d2
(Package: tseriesChaos) :
Sample correlation integral (at multiple length scales)
Computes the sample correlation integral over a grid of neps length scales starting from eps.min, and for multiple embedding dimensions
● Data Source:
CranContrib
● Keywords: ts
● Alias: d2
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Plotting method for objects inheriting from class '"false.nearest"'.
● Data Source:
CranContrib
● Keywords: hplot
● Alias: plot.false.nearest
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providing 
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