Description A - Data generation and Input B - Smoothing and Signal Processing C - Recognising Patterns & Testing Annexe - Data
Generating visual charting patterns and noise, smoothing to find a signal in noisy time series and enabling users to apply their findings to real life data.
generator Generate your own Patterns
noise Generate artificial Noise
sample.pre Prepare real sample data for use with the package
mav Moving Average/Median
kernel Kernel Regression
savgolay Savitzky-Golay Filter
splines Smoothing Splines
loess.rpatrec LOESS
interpret Recognise different Patterns in time series data
slicer Recognise multiple Patterns in time series data
test.smoother Test smoothing algorithms with generated data
data Stock Market Indices - Daily Closing Prices
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