RobKF

Implements a series of robust Kalman filtering approaches. It implements the additive outlier robust filters of Ruckdeschel et al. (2014) doi:10.48550/arXiv.1204.3358 and Agamennoni et al. (2018) doi:10.1109%2FICRA.2011.5979605, the innovative outlier robust filter of Ruckdeschel et al. (2014) doi:10.48550/arXiv.1204.3358, as well as the innovative and additive outlier robust filter of Fisch et al. (2020) doi:10.48550/arXiv.2007.03238.

Last 30 days

This package has been downloaded 257 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 41 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 3,100 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Apr 12, 2025 with 41 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.