density.prior {BayesTools}  R Documentation 
Computes density of a prior distribution across a range of values.
## S3 method for class 'prior'
density(
x,
x_seq = NULL,
x_range = NULL,
x_range_quant = NULL,
n_points = 1000,
n_samples = 10000,
force_samples = FALSE,
individual = FALSE,
transformation = NULL,
transformation_arguments = NULL,
transformation_settings = FALSE,
truncate_end = TRUE,
...
)
x 
a prior 
x_seq 
sequence of x coordinates 
x_range 
vector of length two with
lower and upper range for the support
(used if 
x_range_quant 
quantile used for
automatically obtaining 
n_points 
number of equally spaced points
in the 
n_samples 
number of samples from the prior
distribution if the density cannot be obtained
analytically (or if samples are forced with

force_samples 
should prior be sampled instead of obtaining analytic solution whenever possible 
individual 
should individual densities be returned (e.g., in case of weightfunction) 
transformation 
transformation to be applied to the prior distribution. Either a character specifying one of the prepared transformations:
, or a list containing the transformation function 
transformation_arguments 
a list with named arguments for
the 
transformation_settings 
boolean indicating whether the
settings the 
truncate_end 
whether the density should be set to zero in for the endpoints of truncated distributions 
... 
additional arguments 
density.prior
returns an object of class 'density'.