as.list.stationarity | Testing for stationarity in a time series |
as.matrix.embedSeries | Creates a delay embedding of a single variable time series |
as.matrix.spaceTime | Space time separation plot |
beamchaos | Chaotic beam data |
chaoticInvariant | Class for chaotic invariant objects |
corrDim | Correlation dimension |
determinism | Detecting determinism in a time series |
DFA | Detrended fluctuation analysis |
dispersion | Dispersion analysis |
ecgrr | Electrocardiogram R-R Interval Data |
eda.plot | Generic function for generating extended data analysis plots |
eda.plot.chaoticInvariant | Class for chaotic invariant objects |
eda.plot.determinism | Detecting determinism in a time series |
eda.plot.embedSeries | Creates a delay embedding of a single variable time series |
eda.plot.fractalBlock | Class constructor for block-dependent estimators for stochastic fractal time series |
eda.plot.KDE | Nonparametric multidimensional probability density function estimation |
eda.plot.spaceTime | Space time separation plot |
eda.plot.surrogate | Surrogate data generation |
eegduke | Electroencephalogram Recordings of a Seizure |
embedSeries | Creates a delay embedding of a single variable time series |
FDSimulate | Simulation of an FD process with time varying model parameters |
FDWhittle | Estimate the Hurst coefficient by Whittle's method |
findNeighbors | Nearest neighbor search in a multidimensional space |
FNN | Estimation of the proper embedding dimension for a single-variable time series |
FNS | Estimation of the proper embedding dimension for a single-variable time series |
fractalBlock | Class constructor for block-dependent estimators for stochastic fractal time series |
HDEst | Hurvich-Deo estimate of number of frequencies to use in a periodogram regression |
henon | Henon map |
hurstACVF | Estimate the Hurst coefficient by regression of scaled asinh plot of ACVF vs log(lag) |
hurstBlock | Hurst coefficient estimation in the time domain |
hurstSpec | Hurst coefficient estimation via spectral regression |
infoDim | Information dimension |
KDE | Nonparametric multidimensional probability density function estimation |
lmACF | ACF, PACF, and ACVF for various stochastic fractal time series models |
lmConfidence | Confidence intervals for unknown mean |
lmConvert | Stochastic fractal exponent conversion |
lmModel | Constructor function for objects of class "lmModel" |
lmSDF | SDF for various stochastic fractal time series models |
lmSimulate | Stochastic fractal time series simulation |
localProjection | Time series denoising via a local projection filtering technique |
lorenz | Chaotic response of the Lorenz system |
lorenz.ode | Lorenz system ODEs |
lyapunov | Local-Global Lyapunov Spectrum Estimation |
medianFilter | Median filtering of a time series |
pd5si | Gait stride intervals for a patient with Parkinson's Disease |
plot.chaoticInvariant | Class for chaotic invariant objects |
plot.determinism | Detecting determinism in a time series |
plot.embedSeries | Creates a delay embedding of a single variable time series |
plot.FDSimulate | Simulation of an FD process with time varying model parameters |
plot.FNN | Estimation of the proper embedding dimension for a single-variable time series |
plot.fractalBlock | Class constructor for block-dependent estimators for stochastic fractal time series |
plot.KDE | Nonparametric multidimensional probability density function estimation |
plot.lyapunov | Local-Global Lyapunov Spectrum Estimation |
plot.spaceTime | Space time separation plot |
plot.surrogate | Surrogate data generation |
poincareMap | Create a Poincare map |
print.chaoticInvariant | Class for chaotic invariant objects |
print.determinism | Detecting determinism in a time series |
print.embedSeries | Creates a delay embedding of a single variable time series |
print.FDSimulate | Simulation of an FD process with time varying model parameters |
print.FNN | Estimation of the proper embedding dimension for a single-variable time series |
print.fractalBlock | Class constructor for block-dependent estimators for stochastic fractal time series |
print.KDE | Nonparametric multidimensional probability density function estimation |
print.lyapunov | Local-Global Lyapunov Spectrum Estimation |
print.spaceTime | Space time separation plot |
print.stationarity | Testing for stationarity in a time series |
print.summary.chaoticInvariant | Class for chaotic invariant objects |
print.summary.lyapunov | Local-Global Lyapunov Spectrum Estimation |
print.summary.stationarity | Testing for stationarity in a time series |
print.surrogate | Surrogate data generation |
RoverS | Estimate the Hurst coefficient by rescaled range (R/S) method |
spaceTime | Space time separation plot |
stationarity | Testing for stationarity in a time series |
summary.determinism | Detecting determinism in a time series |
summary.lyapunov | Local-Global Lyapunov Spectrum Estimation |
summary.stationarity | Testing for stationarity in a time series |
surrogate | Surrogate data generation |
timeLag | Estimate the proper time lag for single variable delay embeddings |
[.embedSeries | Creates a delay embedding of a single variable time series |