Package: bspcov
Type: Package
Title: Bayesian Sparse Estimation of a Covariance Matrix
Version: 1.0.0
Date: 2024-02-04
Author: Kwangmin Lee [aut],
  Kyeongwon Lee <kwlee1718@gmail.com> [aut, cre],
  Kyoungjae Lee [aut],
  Seongil Jo [aut],
  Jaeyong Lee [ctb]
Maintainer: Kyeongwon Lee <kwlee1718@gmail.com>
Depends: R (>= 3.5)
Description: 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').
Imports: GIGrvg, coda, progress, BayesFactor, MASS, mvnfast,
        matrixcalc, matrixStats, purrr, dplyr, RSpectra, Matrix, plyr,
        CholWishart, magrittr, future, furrr, ks, ggplot2, ggmcmc,
        caret, FinCovRegularization, mvtnorm
License: GPL-2
LazyLoad: yes
URL: https://github.com/statjs/bspcov
Encoding: UTF-8
RoxygenNote: 7.3.1
NeedsCompilation: no
Packaged: 2024-02-05 04:00:18 UTC; kwlee
LazyData: true
Repository: CRAN
Date/Publication: 2024-02-06 16:50:08 UTC
Built: R 4.2.3; ; 2024-02-06 20:22:46 UTC; unix
