addNoisyCopies          Add noisy copies for parametric bootstrap
etaval                  Computes the eta value of a signal (slowness)
gaussClassifier         Classifier for SFA demos
gaussCreate             Create an Gaussian classifier object
rSFA-package            Slow Feature Analysis
sfa1                    The SFA1 algorithm, linear SFA.
sfa1Create              Create structured list for linear SFA
sfa2                    The SFA2 algorithm, SFA with degree 2
                        expansion.
sfa2Create              Create structured list for expanded SFA
sfaClassPredict         Predict Class for SFA classification
sfaClassify             Predict Class for SFA classification
sfaExecute              Execute learned function for input data
sfaExpand               Degree 2 Expansion
sfaNlRegress            Perform non-linear regression
sfaPBootstrap           Parametric Bootstrap
sfaStep                 Update a step of the SFA algorithm.
sfaTimediff             Calculates the first derivative of signal data
xpDim                   Degree 2 Dimension Calculation
