Plot a list of prior distributions
plot_prior_list(
prior_list,
plot_type = "base",
x_seq = NULL,
xlim = NULL,
x_range_quant = NULL,
n_points = 500,
n_samples = 10000,
force_samples = FALSE,
transformation = NULL,
transformation_arguments = NULL,
transformation_settings = FALSE,
rescale_x = FALSE,
par_name = NULL,
prior_list_mu = NULL,
...
)
list of prior distributions
whether to use a base plot "base"
or ggplot2 "ggplot"
for plotting.
sequence of x coordinates
x plotting range
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
.
number of equally spaced points
in the x_range
if x_seq
is unspecified
number of samples from the prior
distribution if the density cannot be obtained
analytically (or if samples are forced with
force_samples = TRUE
)
should prior be sampled instead of obtaining analytic solution whenever possible
transformation to be applied to the prior distribution. Either a character specifying one of the prepared transformations:
linear transformation in form of a + b*x
also known as Fisher's z transformation
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.
a list with named arguments for
the transformation
boolean indicating whether the
settings the x_seq
or x_range
was specified on
the transformed support
allows to rescale x-axis in case a weightfunction is plotted.
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.
list of priors for the mu parameter required when plotting PET-PEESE
additional arguments
plot_prior_list
returns either NULL
or
an object of class 'ggplot' if plot_type is plot_type = "ggplot"
.