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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>.
Package details |
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Author | Tae Kim |
Maintainer | Tae Kim <tk382@uchicago.edu> |
License | GPL (>= 2) |
Version | 0.8.0 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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