Package: MMVBVS
Type: Package
Title: Missing Multivariate Bayesian Variable Selection
Version: 0.8.0
Author: Tae Kim
Maintainer: Tae Kim <tk382@uchicago.edu>
Description: A variable selection tool for multivariate normal variables with missing-at-random values using Bayesian Hierarchical Model.
    Visualization functions show the posterior distribution of gamma (inclusion variables) and beta (coefficients). 
    Users can also visualize the heatmap of the posterior mean of covariance matrix. 
    Kim, T. Nicolae, D. (2019) <https://github.com/tk382/MMVBVS/blob/master/workingpaper.pdf>.
    Guan, Y. Stephens, M. (2011) <doi:10.1214/11-AOAS455>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, reshape, reshape2, ggplot2, rlang
RoxygenNote: 6.1.1
Suggests: testthat, MASS
NeedsCompilation: yes
Packaged: 2019-12-15 14:34:52 UTC; tae
Repository: CRAN
Date/Publication: 2019-12-15 15:20:13 UTC
Built: R 4.5.2; x86_64-w64-mingw32; 2025-11-01 02:24:48 UTC; windows
Archs: x64
