plot.summary.var_estimate function

Plot summary.var_estimate Objects

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

## 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

Returns

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