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').
- Version1.0.0
- R version≥ 3.5
- LicenseGPL-2
- Needs compilation?No
- Last release02/06/2024
Documentation
Team
Kyeongwon Lee
Kwangmin Lee
Show author detailsRolesAuthorKyoungjae Lee
Show author detailsRolesAuthorSeongil Jo
Show author detailsRolesAuthorJaeyong Lee
Show author detailsRolesContributor
Insights
Last 30 days
Last 365 days
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
- Depends1 package
- Imports23 packages