plot_beta

Output object from mmvbvs function

result

A string object for the title of the resulting plot

title

Plot the coefficients for each variable for each iteration of MCMC

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>.

plot_beta: Plot the coefficients for each variable for each iteration of MCMC

Description

Usage

Arguments

Value