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Bayesian comparison on networks of binary and ordinal variables in two independent samples using the bgmCompare function

Introduction

This example demonstrates how to use the bgmCompare function for Bayesian analysis of the ordinal Markov Random Field (MRF) model in two independent samples.

library(bgms)

Example –

Usage

bgmCompare(x,
           y,
           difference_selection = TRUE,
           main_difference_model = c("Collapse", "Constrain", "Free"),
           variable_type = "ordinal",
           reference_category,
           pairwise_difference_scale = 1,
           main_difference_scale = 1,
           pairwise_difference_prior = c("Bernoulli", "Beta-Bernoulli"),
           main_difference_prior = c("Bernoulli", "Beta-Bernoulli"),
           pairwise_difference_probability = 0.5,
           main_difference_probability = 0.5,
           pairwise_beta_bernoulli_alpha = 1,
           pairwise_beta_bernoulli_beta = 1,
           main_beta_bernoulli_alpha = 1,
           main_beta_bernoulli_beta = 1,
           interaction_scale = 2.5,
           threshold_alpha = 0.5,
           threshold_beta = 0.5,
           iter = 1e4,
           burnin = 1e3,
           na.action = c("listwise", "impute"),
           save = FALSE,
           display_progress = TRUE)

Arguments

x:

References

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.