The `plot()`

method for the `bayestestR::p_significance()`

function.

## Usage

```
# S3 method for see_p_significance
plot(
x,
data = NULL,
show_intercept = FALSE,
priors = FALSE,
priors_alpha = 0.4,
n_columns = 1,
...
)
```

## Arguments

- x
An object.

- data
The original data used to create this object. Can be a statistical model.

- 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.- priors
Logical. If

`TRUE`

, prior distributions are simulated (using`bayestestR::simulate_prior()`

) and added to the plot.- priors_alpha
Numeric value specifying alpha for the prior distributions.

- n_columns
For models with multiple components (like fixed and random, count and zero-inflated), defines the number of columns for the panel-layout. If

`NULL`

, a single, integrated plot is shown.- ...
Arguments passed to or from other methods.

## Examples

```
library(rstanarm)
library(bayestestR)
set.seed(123)
m <<- suppressWarnings(stan_glm(Sepal.Length ~ Petal.Width * Species, data = iris, refresh = 0))
result <- p_significance(m)
plot(result)
```