User:Josiah425:TISEAN Package:Table of functions

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