Add prior object to a plot
# S3 method for prior
lines(
x,
xlim = NULL,
x_seq = NULL,
x_range_quant = NULL,
n_points = 1000,
n_samples = 10000,
force_samples = FALSE,
transformation = NULL,
transformation_arguments = NULL,
transformation_settings = FALSE,
show_parameter = if (individual) 1 else NULL,
individual = FALSE,
rescale_x = FALSE,
scale_y2 = 1,
...
)
a prior
plotting range of the prior
sequence of x coordinates
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
which parameter should be returned in case of
multiple parameters per prior. Useful when priors for the omega
parameter are plotted and individual = TRUE
.
should individual densities be returned (e.g., in case of weightfunction)
allows to rescale x-axis in case a weightfunction is plotted.
scaling factor for a secondary axis
additional arguments
lines.prior
returns NULL
.