Description Usage Arguments Value
The algorithm searches for an optimal polynomial describing the warping. The degree of smoothing depends on smoothing factor lambda (usually from 0.5 to 10.0) Use lambda = 0.5 for very slight smoothing and lambda = 5.0 for strong smoothing
1 | sits_whittaker(data.tb, lambda = 0.5, bands_suffix = "whit")
|
data.tb |
The SITS tibble containing the original time series |
lambda |
double - the smoothing factor to be applied |
bands_suffix |
the suffix to be appended to the smoothed filters |
output.tb a tibble with smoothed sits time series
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