smooth

Functions implementing Single Source of Error state space models for purposes of time series analysis and forecasting. The package includes ADAM (Svetunkov, 2023), Exponential Smoothing (Hyndman et al., 2008), SARIMA (Svetunkov & Boylan, 2019), Complex Exponential Smoothing (Svetunkov & Kourentzes, 2018), Simple Moving Average (Svetunkov & Petropoulos, 2018) and several simulation functions. It also allows dealing with intermittent demand based on the iETS framework (Svetunkov & Boylan, 2019).

Last 30 days

This package has been downloaded 6,631 times in the last 30 days. A solid achievement! Enough downloads to get noticed at department meetings. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 204 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 87,434 times in the last 365 days. This work is reaching a lot of screens. A significant achievement indeed! The day with the most downloads was Apr 30, 2024 with 1,825 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.