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.
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.
| Name | Type | Version | Platform | Labels | Updated | Size | Downloads | Actions |
|---|
noarch/r-rmaf-3.0.1-r36h6115d3f_0.tar.bz2 | conda | 3.0.1 | noarch | main | Oct 15, 2019, 04:53 PM | 47.67 KB | 0 |