lines.prior {BayesTools}  R Documentation 
Add prior object to a plot
## S3 method for class '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, ... )
x 
a prior 
xlim 
plotting range of the prior 
x_seq 
sequence of x coordinates 
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 
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 
show_parameter 
which parameter should be returned in case of
multiple parameters per prior. Useful when priors for the omega
parameter are plotted and 
individual 
should individual densities be returned (e.g., in case of weightfunction) 
rescale_x 
allows to rescale xaxis in case a weightfunction is plotted. 
scale_y2 
scaling factor for a secondary axis 
... 
additional arguments 
lines.prior
returns NULL
.