stepR

Allows fitting of step-functions to univariate serial data where neither the number of jumps nor their positions is known by implementing the multiscale regression estimators SMUCE, simulataneous multiscale changepoint estimator, (K. Frick, A. Munk and H. Sieling, 2014) doi:10.1111/rssb.12047 and HSMUCE, heterogeneous SMUCE, (F. Pein, H. Sieling and A. Munk, 2017) doi:10.1111/rssb.12202. In addition, confidence intervals for the change-point locations and bands for the unknown signal can be obtained.

Last 30 days

This package has been downloaded 305 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 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 4,470 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Apr 25, 2024 with 72 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.