plot.summary.var_estimate: Plot 'summary.var_estimate' Objects

In BGGM: Bayesian Gaussian Graphical Models

Plot summary.var_estimate Objects

Description

Visualize the posterior distributions of each partial correlation and regression coefficient.

Usage

## S3 method for class 'summary.var_estimate'
plot(x, color = "black", size = 2, width = 0, param = "all", order = TRUE, ...)

Arguments

x	An object of class summary.var_estimate
color	Character string. The color for the error bars. (defaults to "black").
size	Numeric. The size for the points (defaults to 2).
width	Numeric. The width of error bar ends (defaults to 0).
param	Character string. Which parameters should be plotted ? The options are pcor, beta, or all (default).
order	Logical. Should the relations be ordered by size (defaults to TRUE) ?
...	Currently ignored

Value

A list of ggplot objects.

Examples

# data
Y <- subset(ifit, id == 1)[,-1]

# fit model with alias (var_estimate also works)
fit <- var_estimate(Y, progress = FALSE)

plts <- plot(summary(fit))
plts$pcor_plt

BGGM documentation built on Sept. 11, 2024, 5:19 p.m.