# User:Josiah425:TISEAN Package:Table of functions

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In reference to the TISEAN library alphabetical order of programs which is located here.

Program Name | Program Description | Corresponding Octave Function | Comments |
---|---|---|---|

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 |