#' @param prior The prior distribution for the regression coefficients.
#' \code{prior} should be a call to one of the various functions provided by
#' \pkg{rstap} for specifying priors. The subset of these functions that
#' can be used for the prior on the coefficients can be grouped into several
#' "families":
#'
#' \tabular{ll}{
#' \strong{Family} \tab \strong{Functions} \cr
#' \emph{Student t family} \tab \code{normal}, \code{student_t}, \code{cauchy} \cr
#' \emph{Hierarchical shrinkage family} \tab \code{hs}, \code{hs_plus} \cr
#' \emph{Laplace family} \tab \code{laplace}, \code{lasso} \cr
#' \emph{Product normal family} \tab \code{product_normal} \cr
#' }
#'
#' See the \link[=priors]{priors help page} for details on the families and
#' how to specify the arguments for all of the functions in the table above.
#' To omit a prior ---i.e., to use a flat (improper) uniform prior---
#' \code{prior} can be set to \code{NULL}, although this is rarely a good
#' idea.
#'
#' \strong{Note:} If \code{prior} is from the Student t
#' family or Laplace family, and if the \code{autoscale} argument to the
#' function used to specify the prior (e.g. \code{\link{normal}}) is left at
#' its default and recommended value of \code{TRUE}, then the default or
#' user-specified prior scale(s) may be adjusted internally based on the
#' scales of the predictors. See the \link[=priors]{priors help page} and the
#' \emph{Prior Distributions} vignette for details on the rescaling and the
#' \code{\link{prior_summary}} function for a summary of the priors used for a
#' particular model.
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