Uses refined moving average filter based on the optimal and data-driven moving average lag q or smoothing spline to estimate trend and seasonal components, as well as irregularity (residuals) for univariate time series or data.
|Maintainer||Debin Qiu <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on GitHub|
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