Plots a prior object

```
# S3 method for prior
plot(
x,
plot_type = "base",
x_seq = NULL,
xlim = NULL,
x_range_quant = NULL,
n_points = 1000,
n_samples = 10000,
force_samples = FALSE,
transformation = NULL,
transformation_arguments = NULL,
transformation_settings = FALSE,
show_figures = if (individual) -1 else NULL,
individual = FALSE,
rescale_x = FALSE,
par_name = NULL,
...
)
```

- x
a prior

- plot_type
whether to use a base plot

`"base"`

or ggplot2`"ggplot"`

for plotting.- x_seq
sequence of x coordinates

- xlim
x plotting range

- x_range_quant
quantile used for automatically obtaining

`x_range`

if both`x_range`

and`x_seq`

are unspecified. Defaults to`0.005`

for all but Cauchy, Student-t, Gamma, and Inverse-gamme distributions that use`0.010`

.- n_points
number of equally spaced points in the

`x_range`

if`x_seq`

is unspecified- n_samples
number of samples from the prior distribution if the density cannot be obtained analytically (or if samples are forced with

`force_samples = TRUE`

)- force_samples
should prior be sampled instead of obtaining analytic solution whenever possible

- transformation
transformation to be applied to the prior distribution. Either a character specifying one of the prepared transformations:

- lin
linear transformation in form of

`a + b*x`

- tanh
also known as Fisher's z transformation

- exp
exponential transformation

, or a list containing the transformation function

`fun`

, inverse transformation function`inv`

, and the Jacobian of the transformation`jac`

. See examples for details.- transformation_arguments
a list with named arguments for the

`transformation`

- transformation_settings
boolean indicating whether the settings the

`x_seq`

or`x_range`

was specified on the transformed support- show_figures
which figures should be returned in case of multiple plots are generated. Useful when priors for the omega parameter are plotted and

`individual = TRUE`

.- individual
should individual densities be returned (e.g., in case of weightfunction)

- rescale_x
allows to rescale x-axis in case a weightfunction is plotted.

- par_name
a type of parameter for which the prior is specified. Only relevant if the prior corresponds to a mu parameter that needs to be transformed.

- ...
additional arguments

`plot.prior`

returns either `NULL`

or
an object of class 'ggplot' if plot_type is `plot_type = "ggplot"`

.

```
# create some prior distributions
p0 <- prior(distribution = "point", parameters = list(location = 0))
p1 <- prior(distribution = "normal", parameters = list(mean = 0, sd = 1))
p2 <- prior(distribution = "normal", parameters = list(mean = 0, sd = 1), truncation = list(0, Inf))
# a default plot
plot(p0)
# manipulate line thickness and color, change the parameter name
plot(p1, lwd = 2, col = "blue", par_name = bquote(mu))
# use ggplot
plot(p2, plot_type = "ggplot")
# utilize the ggplot prior geom
plot(p2, plot_type = "ggplot", xlim = c(-2, 2)) + geom_prior(p1, col = "red", lty = 2)
# apply transformation
plot(p1, transformation = "exp")
```