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MMVBVS  

Missing Multivariate Bayesian Variable Selection
View on CRAN: Click here


Download and install MMVBVS package within the R console
Install from CRAN:
install.packages("MMVBVS")

Install from Github:
library("remotes")
install_github("cran/MMVBVS")

Install by package version:
library("remotes")
install_version("MMVBVS", "0.8.0")



Attach the package and use:
library("MMVBVS")
Maintained by
Tae Kim
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-12-15
Latest Update: 2019-12-15
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) . Guan, Y. Stephens, M. (2011) .
How to cite:
Tae Kim (2019). MMVBVS: Missing Multivariate Bayesian Variable Selection. R package version 0.8.0, https://cran.r-project.org/web/packages/MMVBVS. Accessed 29 Jan. 2025.
Previous versions and publish date:
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View MMVBVS citation profile
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Complete documentation for MMVBVS
Functions, R codes and Examples using the MMVBVS R package
Some associated functions: beta_dist . mmvbvs . plot_beta . plot_gamma . plot_sigma . 
Some associated R codes: RcppExports.R . analyze_results.R .  Full MMVBVS package functions and examples
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