cellWise

Tools for detecting cellwise outliers and robust methods to analyze data which may contain them. Contains the implementation of the algorithms described in Rousseeuw and Van den Bossche (2018) doi:10.1080/00401706.2017.1340909 (open access) Hubert et al. (2019) doi:10.1080/00401706.2018.1562989 (open access), Raymaekers and Rousseeuw (2021) doi:10.1080/00401706.2019.1677270 (open access), Raymaekers and Rousseeuw (2021) doi:10.1007/s10994-021-05960-5 (open access), Raymaekers and Rousseeuw (2021) doi:10.52933/jdssv.v1i3.18 (open access), Raymaekers and Rousseeuw (2022) doi:10.48550/arXiv.2207.13493 (open access) Rousseeuw (2022) doi:10.1016/j.ecosta.2023.01.007 (open access). Examples can be found in the vignettes: "DDC_examples", "MacroPCA_examples", "wrap_examples", "transfo_examples", "DI_examples", "cellMCD_examples", "Correspondence_analysis_examples", and "cellwise_weights_examples".

Last 30 days

This package has been downloaded 1,299 times in the last 30 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 25 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 11,299 times in the last 365 days. The academic equivalent of having a dedicated subreddit. There are fans, and maybe even a few trolls! The day with the most downloads was Feb 12, 2025 with 122 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.