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) .


Reference manual

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0.8.0 by Tae Kim, a year 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