RSC
Robust and Sparse Correlation Matrix
Performs robust and sparse correlation matrix estimation. Robustness is achieved based on a simple robust pairwise correlation estimator, while sparsity is obtained based on thresholding. The optimal thresholding is tuned via cross-validation. See Serra, Coretto, Fratello and Tagliaferri (2018) doi:10.1093/bioinformatics/btx642.
- Version2.0.4
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- RSC citation info
- Last release04/17/2023
Documentation
Team
Luca Coraggio
MaintainerShow author detailsPietro Coretto
Angela Serra
Show author detailsRolesAuthorRoberto Tagliaferri
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 189 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 9 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 2,668 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 Sep 11, 2024 with 33 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
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Dependencies
- Imports3 packages