All programs in alphabetical order

arima-model | Fit and possibly iterate an ARIMA model |

ar-model | Fit and possibly iterate an Autoregessive model |

ar-run | Iterate an Autoregessive model |

av-d2 | Simply smooth output of d2 |

boxcount | Renyi Entopies of Qth order |

c1 | Fixed mass estimation of D1 |

c2d | Get local slopes from correlation integral |

c2g | Gaussian kernel of C2 |

c2t | Takens estimator of D2 |

choose | Choose rows and/or columns from a data file |

compare | Compares two data sets |

corr | Autocorrelation function |

d2 | Correlation dimension d2 |

delay | Creates delay embedding |

endtoend | Determine end-to-end mismatch |

events | Interval/event conversion |

extrema | Determine the extrema of a time series |

false_nearest | The false nearest neighbor algorithm |

ghkss | Nonlinear noise reduction |

henon | Create a Hénon time series |

histogram | Creates histograms |

ikeda | Create an Ikeda time series |

intervals | Event/intervcal conversion |

lazy | Simple nonlinear noise reduction |

lfo-ar | Locally first order model vs. global AR model (old ll-ar) |

lfo-run | Iterate a locally first order model (old nstep) |

lfo-test | Test a locally first order model (old onestep) |

lorenz | Create a Lorenz time series |

low121 | Time domain low pass filter |

lyap_k | Maximal Lyapunov exponent with the Kantz algorithm |

lyap_r | Maximal Lyapunov exponent with the Rosenstein algorithm |

lyap_spec | Full spectrum of Lyapunov exponents |

lzo-gm | Locally zeroth order model vs. global mean |

lzo-run | Iterate a locally zeroth order model |

lzo-test | Test a locally zeroth order model (old zeroth) |

makenoise | Produce noise |

mem_spec | Power spectrum using the maximum entropy principle |

mutual | Estimate the mutual information |

notch | Notch filter |

nstat_z | Nonstationarity testing via cross-prediction |

pca | Principle component analysis |

poincare | Create Poincaré sections |

polyback | Fit a polynomial model (backward elimination) |

polynom | Fit a polynomial model |

polynomp | Fit a polynomial model (reads terms to fit from file) |

polypar | Creates parameter file for polynomp |

predict | Forecast discriminating statistics for surrogates |

randomize | General constraint randomization (surrogates) |

randomize_spikeauto_exp_random | Surrogate data preserving event time autocorrelations |

randomize_spikespec_exp_event | Surrogate data preserving event time power spectrum |

rbf | Radial basis functions fit |

recurr | Creates a recurrence plot |

resample | Resamples data |

rescale | Rescale data set |

rms | Rescale data set and get mean, variance and data interval |

sav_gol | Savitzky-Golay filter |

spectrum | Power spectrum using FFT |

spikeauto | Autocorrelation function of event times |

spikespec | Power spectrum of event times |

stp | Creates a space-time separation plot |

surrogates | Creates surrogate data |

timerev | Time reversal discrimating statistics for surrogates |

upo | Finds unstable periodic orbits and estimates their stability |

upoembed | Takes the output of upo and create data files out of it |

wiener | Wiener filter |

xc2 | Cross-correlation integral |

xcor | Cross-correlations |

xrecur | Cross-recurrence Plot |

xzero | Locally zeroth order cross-prediction |