rrcovHD
Robust Multivariate Methods for High Dimensional Data
Robust multivariate methods for high dimensional data including outlier detection (Filzmoser and Todorov (2013)), robust sparse PCA (Croux et al. (2013), Todorov and Filzmoser (2013)), robust PLS (Todorov and Filzmoser (2014)), and robust sparse classification (Ortner et al. (2020)).
- Version0.3-1
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release08/17/2024
Documentation
Team
Valentin Todorov
Insights
Last 30 days
This package has been downloaded 360 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 19 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 9,304 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Sep 04, 2024 with 203 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
- Imports5 packages
- Suggests1 package
- Linking To1 package
- Reverse Suggests1 package