MMVBVS
0.8.0Missing Multivariate Bayesian Variable Selection
Overview
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.
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Code & Tests
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2025-11-28issues were not corrected despite reminders
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.8.02019-12-15
- RR 3.6.0 released · 2019-04-26
Package metadata
- Total releases
- 1
- License
- GPL (>= 2) OSI
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