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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').
Getting started
Browse package contents
Package details |
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| Author | Kwangmin Lee [aut], Kyeongwon Lee [aut, cre], Kyoungjae Lee [aut], Seongil Jo [aut], Jaeyong Lee [ctb] |
| Maintainer | Kyeongwon Lee <kwlee1718@gmail.com> |
| License | GPL-2 |
| Version | 1.0.1 |
| URL | https://github.com/statjs/bspcov |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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