print.prior {BayesTools} | R Documentation |
Prints a prior object
## S3 method for class 'prior'
print(
x,
short_name = FALSE,
parameter_names = FALSE,
plot = FALSE,
digits_estimates = 2,
silent = FALSE,
...
)
x |
a prior |
short_name |
whether prior distribution names should be shorted |
parameter_names |
whether parameter names should be printed |
plot |
to return bquote formatted prior name for plotting. |
digits_estimates |
number of decimals to be displayed for printed parameters. |
silent |
to silently return the print message. |
... |
additional arguments |
print.prior
invisibly returns the print statement.
# create some prior distributions
p0 <- prior(distribution = "point", parameters = list(location = 0))
p1 <- prior(distribution = "normal", parameters = list(mean = 0, sd = 1))
# print them
p0
p1
# use short names
print(p1, short_name = TRUE)
# print parameter names
print(p1, parameter_names = TRUE)
# generate bquote plotting syntax
plot(0, main = print(p1, plot = TRUE))