bspcov
Bayesian Sparse Estimation of a Covariance Matrix
Provides functions which perform Bayesian estimations of a covariance matrix for multivariate normal data. Assumes that the covariance matrix is sparse or band matrix and positive-definite. This software has been developed using funding supported by Basic Science Research Program through the National Research Foundation of Korea ('NRF') funded by the Ministry of Education ('RS-2023-00211979', 'NRF-2022R1A5A7033499', 'NRF-2020R1A4A1018207' and 'NRF-2020R1C1C1A01013338').
- Version1.0.1
- R version≥ 3.5
- LicenseGPL-2
- Needs compilation?No
- Last release11/13/2024
Documentation
Team
Kyeongwon Lee
Kyoungjae Lee
Show author detailsRolesAuthorSeongil Jo
Show author detailsRolesAuthorKwangmin Lee
Show author detailsRolesAuthorJaeyong Lee
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 496 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 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 3,963 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 Feb 20, 2025 with 56 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
- Imports23 packages