R interface to Tisean algorithms

Documentation for package `RTisean' version 3.0-5

RTisean-package	The RTisean package
av_d2	Smoothing correlation sum data
boxcount	Renyi entropy estimate
c1	Fixed mass estimation of information dimension
c2d	Local slopes from correlation sums.
c2g	Gaussian kernel correlation integral
c2t	Maximum likelihood estimator from correlation sums
d2	Dimension and entropy estimation
endtoend	End-to-end mismatch of a time series
ghkss	Noise reduction
henon	Henon Model
lazy	Nonlinear noise reduction
ll_ar	Modeling data through a local linear ansatz
logistic	Logistic model
low121	Low pass filter
lyap_r	Largest Lyapunov exponent
notch	Notch filter
nrlazy	Nonlinear noise reduction
nstep	Modeling data through a local linear ansatz
onestep	Local linear ansatz
pc	Embed using principal components
poincare	Poincare section
polyback	Backward elimination for a given polynomial
polynom	Modeling data trough a polynomial ansatz
polynomp	Modeling data trough a polynomial ansatz
polypar	Polynomial parameter matrix
project	Projective nonlinear noise reduction
rbf	Modeling data using a radial basis function ansatz
RTisean	The RTisean package
RT_delay	Embed using delay coordinates
RT_predict	Simple nonlinear prediction
RT_svd	SVD
sav_gol	Savitzky-Golay filter
surrogates	Making surrogate data
timerev	Time reversal asymmetry statistic
wiener1	Wiener filter
wiener2	Wiener filter
xcor	Cross correlations
xzero	Zeroth order model
zeroth	Modeling data trough a zeroth order ansatz