plot.compare_gvar: Plot compare_gvar

In tsnet: Fitting, Comparing, and Visualizing Networks Based on Time Series Data

Plot compare_gvar

Description

This function is a plotting method for the class produced by compare_gvar. It generates a plot showing the density of posterior uncertainty distributions for distances and the empirical distance value for two GVAR models.

Usage

## S3 method for class 'compare_gvar'
plot(x, name_a = NULL, name_b = NULL, ...)

Arguments

x	An object of class compare_gvar.
name_a	Optional. The name for model A. If provided, it replaces "mod_a" in the plot.
name_b	Optional. The name for model B. If provided, it replaces "mod_b" in the plot.
...	Additional arguments to be passed to the plotting functions.

Details

The function first checks if the full reference distributions of compare_gvar are saved using the argument return_all set to TRUE. If not, an error is thrown.

Using the "name_a" and "name_b" arguments allows for custom labeling of the two models in the plot.

The function generates two density plots using ggplot2, one for the temporal network (beta) and another for the contemporaneous network (pcor). The density distributions are filled with different colors based on the corresponding models (mod_a and mod_b). The empirical distances between the networks are indicated by red vertical lines.

Value

A ggplot object representing the density plots of the posterior uncertainty distributions for distances and the empirical distance for two GVAR models.

Examples

data(fit_data)
test_res <- compare_gvar(fit_data[[1]],
fit_data[[2]],
n_draws = 100,
return_all = TRUE)
plot(test_res)

tsnet documentation built on June 20, 2025, 9:08 a.m.