ICSOutlier
Outlier Detection Using Invariant Coordinate Selection
Multivariate outlier detection is performed using invariant coordinates where the package offers different methods to choose the appropriate components. ICS is a general multivariate technique with many applications in multivariate analysis. ICSOutlier offers a selection of functions for automated detection of outliers in the data based on a fitted ICS object or by specifying the dataset and the scatters of interest. The current implementation targets data sets with only a small percentage of outliers.
- Version0.4-0
- R version≥ 3.0.0 methods,
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- ICSOutlier citation info
- Last release12/13/2023
Documentation
Team
Klaus Nordhausen
MaintainerShow author detailsAurore Archimbaud
Show author detailsRolesAuthorAnne Ruiz-Gazen
Insights
Last 30 days
This package has been downloaded 1,262 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 47 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 22,499 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 Jul 01, 2024 with 6,855 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.
Data provided by CRAN
Binaries
Dependencies
- Depends2 packages
- Imports1 package
- Suggests3 packages
- Reverse Depends1 package
- Reverse Suggests2 packages