data |
Daily Closing Prices of major Stock Market Indices |
generator |
Generate a time series containing a Visual Charting Pattern. |
interpret |
Recognise patterns in Time Series Data |
iq |
Inbuilt Recoqnition for 10 different financial markets patterns |
kernel |
Perform Kernel Regression on Time Series Data |
loess.rpatrec |
Uses the inbuilt function 'loess()' to smooth the data using local polynomial regression. |
mav |
Compute the moving average, exponential average or running median. |
noise |
Add noise to a time series |
sample.pre |
Prepare Data for using with the other functions |
savgolay |
Perform Savitzgy-Golay smoothing on Time Series Data |
slicer |
Break time series data into smaller "windows" and pass them to the interpret() function |
splines |
Uses the inbuilt function 'smooth.spline()' to smooth the data using splines. |
test.smoother |
Test how well a smoother can filter noise from data |