R: Slow Feature Analysis

# Slow Feature Analysis

## Documentation for package ‘rSFA’ version 1.5

- DESCRIPTION file
- Code demos. Use demo() to run them.
- Package NEWS

## Help Pages

rSFA-package | Slow Feature Analysis
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 | 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
sfaClassify | Predict Class for SFA classification
sfaClassPredict | 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