sparseMatEst
Sparse Matrix Estimation and Inference
The 'sparseMatEst' package provides functions for estimating sparse covariance and precision matrices with error control. A false positive rate is fixed corresponding to the probability of falsely including a matrix entry in the support of the estimator. It uses the binary search method outlined in Kashlak and Kong (2019) doi:10.48550/arXiv.1705.02679 and in Kashlak (2019) doi:10.48550/arXiv.1903.10988.
- Version1.0.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release05/17/2019
Team
Adam B Kashlak
Xinyu Zhang
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Insights
Last 30 days
This package has been downloaded 105 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 2 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 1,414 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 27 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.
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Dependencies
- Imports1 package