Editing User:Josiah425:TISEAN Package:Table of functions

{| class="wikitable"
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! Program Name !! Program Description !! Corresponding Octave Function !! Comments
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|arima-model || Fit and possibly iterate an ARIMA model ||  ||
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|ar-model || Fit and possibly iterate an Autoregessive model ||  ||
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|ar-run || Iterate an Autoregessive model ||  ||
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|av-d2 || Simply smooth output of d2 ||  ||
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|boxcount || Renyi Entopies of Qth order ||  ||
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|c1 || Fixed mass estimation of D1 ||  ||
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|c2d || Get local slopes from correlation integral ||  ||
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|c2g || Gaussian kernel of C2 ||  ||
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|c2t || Takens estimator of D2 ||  ||
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|choose || Choose rows and/or columns from a data file ||  ||
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|compare || Compares two data sets ||  ||
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|corr || Autocorrelation function ||  ||
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|d2 || Correlation dimension d2 ||  ||
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|delay || Creates delay embedding ||  ||
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|endtoend || Determine end-to-end mismatch ||  ||
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|events || Interval/event conversion ||  ||
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|extrema || Determine the extrema of a time series ||  ||
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|false_nearest || The false nearest neighbor algorithm ||  ||
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|ghkss || Nonlinear noise reduction ||  ||
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|henon || Create a Hénon time series ||  ||
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|histogram || Creates histograms ||  ||
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|ikeda || Create an Ikeda time series ||  ||
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|intervals || Event/intervcal conversion ||  ||
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|lazy || Simple nonlinear noise reduction ||  ||
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|lfo-ar || Locally first order model vs. global AR model (old ll-ar) ||  ||
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|lfo-run || Iterate a locally first order model (old nstep) ||  ||
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|lfo-test || Test a locally first order model (old onestep) ||  ||
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|lorenz || Create a Lorenz time series ||  ||
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|low121 || Time domain low pass filter ||  ||
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|lyap_k || Maximal Lyapunov exponent with the Kantz algorithm ||  ||
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|lyap_r || Maximal Lyapunov exponent with the Rosenstein algorithm ||  ||
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|lyap_spec || Full spectrum of Lyapunov exponents ||  ||
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|lzo-gm || Locally zeroth order model vs. global mean ||  ||
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|lzo-run || Iterate a locally zeroth order model ||  ||
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|lzo-test || Test a locally zeroth order model (old zeroth) ||  ||
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|makenoise || Produce noise ||  ||
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|mem_spec || Power spectrum using the maximum entropy principle ||  ||
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|mutual || Estimate the mutual information ||  ||
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|notch || Notch filter ||  ||
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|nstat_z || Nonstationarity testing via cross-prediction ||  ||
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|pca || Principle component analysis ||  ||
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|poincare || Create Poincaré sections ||  ||
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|polyback || Fit a polynomial model (backward elimination) ||  ||
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|polynom || Fit a polynomial model ||  ||
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|polynomp || Fit a polynomial model (reads terms to fit from file) ||  ||
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|polypar || Creates parameter file for polynomp ||  ||
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|predict || Forecast discriminating statistics for surrogates ||  ||
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|randomize || General constraint randomization (surrogates) ||  ||
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|randomize_spikeauto_exp_random || Surrogate data preserving event time autocorrelations ||  ||
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|randomize_spikespec_exp_event || Surrogate data preserving event time power spectrum ||  ||
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|rbf || Radial basis functions fit ||  ||
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|recurr || Creates a recurrence plot ||  ||
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|resample || Resamples data ||  ||
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|rescale || Rescale data set ||  ||
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|rms || Rescale data set and get mean, variance and data interval ||  ||
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|sav_gol || Savitzky-Golay filter ||  ||
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|spectrum || Power spectrum using FFT ||  ||
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|spikeauto || Autocorrelation function of event times ||  ||
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|spikespec || Power spectrum of event times ||  ||
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|stp || Creates a space-time separation plot ||  ||
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|surrogates || Creates surrogate data ||  ||
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|timerev || Time reversal discrimating statistics for surrogates ||  ||
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|upo || Finds unstable periodic orbits and estimates their stability ||  ||
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|upoembed || Takes the output of upo and create data files out of it ||  ||
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|wiener || Wiener filter ||  ||
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|xc2 || Cross-correlation integral ||  ||
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|xcor || Cross-correlations ||  ||
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|xrecur || Cross-recurrence Plot ||  ||
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|xzero || Locally zeroth order cross-prediction
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