#' @param prior_smooth The prior distribution for the hyperparameters in GAMs,
#' with lower values yielding less flexible smooth functions.
#'
#' \code{prior_smooth} can be a call to \code{exponential} to
#' use an exponential distribution, or \code{normal}, \code{student_t} or
#' \code{cauchy}, which results in a half-normal, half-t, or half-Cauchy
#' prior. See \code{\link{priors}} for details on these functions. To omit a
#' prior ---i.e., to use a flat (improper) uniform prior--- set
#' \code{prior_smooth} to \code{NULL}. The number of hyperparameters depends
#' on the model specification but a scalar prior will be recylced as necessary
#' to the appropriate length.
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