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 6,803 times in the last 30 days. That's a lot of interest! Someone might even write a blog post about it. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 343 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 86,866 times in the last 365 days. The kind of number that gets mentioned in a keynote speech. Well done! 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.