DESCRIPTION

Package: bspcov
Type: Package
Title: Bayesian Sparse Estimation of a Covariance Matrix
Version: 1.0.0
Date: 2023-12-19
Author: Kwangmin Lee [aut],
  Kyeongwon Lee [aut],
  Kyoungjae Lee [aut],
  Seongil Jo [aut, cre],
  Jaeyong Lee [ctb]
Maintainer: Seongil Jo <bstatsjo@gamil.com>
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, coda, ggmcmc,
        caret, FinCovRegularization
License: GPL-2
LazyLoad: yes
URL: https://github.com/statjs/bspcov
Encoding: UTF-8
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2023-07-17 00:05:08 UTC; statjs