Slow Feature Analysis in R

Documentation for package ‘rSFA’ version 1.00

rSFA-package	Slow Feature Analysis in R
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
lcovCreate	Create a new covariance object.
lcovFix	Fix a covariance object
lcovPca	Principal Component Analysis on a covariance object
lcovPca2	Improved Principal Component Analysis on a covariance object
lcovTransform	Transform a covariance object
lcovUpdate	Update a covariance object
rSFA	Slow Feature Analysis in R
sfa1	The SFA1 algorithm, linear SFA.
sfa1Create	Create structured list for linear SFA
sfa2	The SFA2 algorithm, 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
sfaPreproc	Preprocessing for sfa classification
sfaStep	Update a step of the SFA algorithm.
sfaTimediff	Calculates the first derivative of signal data
xpDim	Degree 2 Dimension Calculation