A number of different smoothing methods are supported:

  • Moving average (central)

  • Moving average (lagged)

  • Percentile filter

  • Savitzky-Golay

All smoothing methods support several padding modes (constant, periodic, mirror, nearest, etc.) for the beginning and end of the data set. The moving averages support several weight functions (uniform, triangular, binomial, parabolic, tricubic, etc.) which can be selected to weight the selected data points depending on their distance.