#' @param prior_intercept The prior distribution for the intercept.
#' \code{prior_intercept} can be a call to \code{normal}, \code{student_t} or
#' \code{cauchy}. See the \link[=priors]{priors help page} for details on
#' these functions. To omit a prior on the intercept ---i.e., to use a flat
#' (improper) uniform prior--- \code{prior_intercept} can be set to
#' \code{NULL}.
#'
#' \strong{Note:} The prior distribution for the intercept is set so it
#' applies to the value \emph{when all predictors are centered}. If you prefer
#' to specify a prior on the intercept without the predictors being
#' auto-centered, then you have to omit the intercept from the
#' \code{\link[stats]{formula}} and include a column of ones as a predictor,
#' in which case some element of \code{prior} specifies the prior on it,
#' rather than \code{prior_intercept}. Regardless of how
#' \code{prior_intercept} is specified, the reported \emph{estimates} of the
#' intercept always correspond to a parameterization without centered
#' predictors (i.e., same as in \code{glm}).
#'
#'
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