% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/priors.R
\name{bdeb_prior-methods}
\alias{bdeb_prior-methods}
\alias{print.bdeb_prior}
\alias{summary.bdeb_prior}
\alias{print.summary.bdeb_prior}
\alias{plot.bdeb_prior}
\title{Methods for \code{bdeb_prior} Objects}
\usage{
\method{print}{bdeb_prior}(x, ...)

\method{summary}{bdeb_prior}(object, ...)

\method{print}{summary.bdeb_prior}(x, ...)

\method{plot}{bdeb_prior}(x, n = 200, ...)
}
\arguments{
\item{x, object}{A \code{bdeb_prior} object.}

\item{...}{Ignored.}

\item{n}{Number of grid points for the density curve. Default 200.}
}
\value{
\code{print()} returns the object invisibly.  \code{summary()} returns
a list with theoretical mean, sd, and the 5th, 50th, and 95th
quantiles where defined for the family.  \code{plot()} returns a
\link[ggplot2:ggplot]{ggplot2::ggplot} object showing the prior density between the
0.001 and 0.999 quantiles.
}
\description{
Display, summarise, and plot a \code{bdeb_prior} object returned by
\code{\link[=prior_lognormal]{prior_lognormal()}}, \code{\link[=prior_normal]{prior_normal()}}, \code{\link[=prior_beta]{prior_beta()}},
\code{\link[=prior_halfnormal]{prior_halfnormal()}}, \code{\link[=prior_halfcauchy]{prior_halfcauchy()}}, or
\code{\link[=prior_exponential]{prior_exponential()}}.
}
\examples{
p <- prior_lognormal(mu = 1.5, sigma = 0.5)
print(p)
summary(p)
plot(p)
}
