Missing Multivariate Bayesian Variable Selection

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) .


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install.packages("MMVBVS")

0.8.0 by Tae Kim, 4 months ago


Browse source code at https://github.com/cran/MMVBVS


Authors: Tae Kim


Documentation:   PDF Manual  


GPL (>= 2) license


Imports Rcpp, reshape, reshape2, ggplot2, rlang

Suggests testthat, MASS

Linking to Rcpp, RcppArmadillo


See at CRAN