r-rmaf
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.
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3.0.1
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Summary
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.
Last Updated
Oct 15, 2019 at 16:53
License
GPL-2
Total Downloads
0
Version Downloads
0
Supported Platforms
noarch