# Plot method for simulated model parameters

Source:`R/plot.parameters_simulate.R`

`plot.see_parameters_simulate.Rd`

The `plot()`

method for the `parameters::simulate_parameters()`

function.

## Usage

```
# S3 method for see_parameters_simulate
plot(
x,
data = NULL,
stack = TRUE,
show_intercept = FALSE,
n_columns = NULL,
normalize_height = FALSE,
size_line = 0.9,
posteriors_alpha = 0.7,
centrality = "median",
ci = 0.95,
...
)
```

## Arguments

- x
An object.

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

- stack
Logical. If

`TRUE`

, densities are plotted as stacked lines. Else, densities are plotted for each parameter among each other.- 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.- 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.- normalize_height
Logical. If

`TRUE`

, height of density-areas is "normalized", to avoid overlap. In certain cases when the range of a distribution of simulated draws is narrow for some parameters, this may result in very flat density-areas. In such cases, set`normalize_height = FALSE`

.- size_line
Numeric value specifying size of line geoms.

- posteriors_alpha
Numeric value specifying alpha for the posterior distributions.

- centrality
Character specifying the point-estimate (centrality index) to compute. Can be

`"median"`

,`"mean"`

or`"MAP"`

.- ci
Numeric value of probability of the CI (between 0 and 1) to be estimated. Default to

`0.95`

.- ...
Arguments passed to or from other methods.

## Examples

```
library(parameters)
m <<- lm(mpg ~ wt + cyl + gear, data = mtcars)
result <- simulate_parameters(m)
result
#> # Fixed Effects
#>
#> Parameter | Coefficient | 95% CI | p
#> ---------------------------------------------------
#> (Intercept) | 42.19 | [33.77, 51.64] | < .001
#> wt | -3.37 | [-4.94, -1.68] | < .001
#> cyl | -1.54 | [-2.41, -0.70] | < .001
#> gear | -0.52 | [-2.02, 0.92] | 0.454
#>
#> Uncertainty intervals (equal-tailed) and p-values (two-tailed) computed
#> using a simulated multivariate normal distribution approximation.
plot(result)
```