Plot method for support intervals

The plot() method for the bayestestR::si().

# S3 method for class 'see_si'
plot(
  x,
  color_si = "#0171D3",
  alpha_si = 0.2,
  show_intercept = FALSE,
  support_only = FALSE,
  ...
)

Arguments

x

An object.

color_si

Character specifying color of SI ribbon.

alpha_si

Numeric value specifying Transparency level of SI ribbon.

show_intercept

Logical, if TRUE, the intercept-parameter is included in the plot. By default, it is hidden because in many cases the intercept-parameter has a posterior distribution on a very different location, so density curves of posterior distributions for other parameters are hardly visible.

support_only

Logical. Decides whether to plot only the support data, or show the "raw" prior and posterior distributions? Only applies when plotting bayestestR::si().

...

Arguments passed to or from other methods.

Value

A ggplot2-object.

Examples

if (FALSE) { # identical(Sys.getenv("NOT_CRAN"), "true") && require("rstanarm")
library(rstanarm)
library(bayestestR)
set.seed(123)
m <<- suppressWarnings(stan_glm(Sepal.Length ~ Petal.Width * Species, data = iris, refresh = 0))
result <- si(m, verbose = FALSE)
result
plot(result)
}