text: #ifndef STAN_MATH_PRIM_SCAL_PROB_BETA_LOG_HPP
  #define STAN_MATH_PRIM_SCAL_PROB_BETA_LOG_HPP
  
  #include <stan/math/prim/meta.hpp>
  #include <stan/math/prim/scal/prob/beta_lpdf.hpp>
  
  namespace stan {
  namespace math {
  
  /**
   * The log of the beta density for the specified scalar(s) given the specified
   * sample size(s). y, alpha, or beta can each either be scalar or a vector.
   * Any vector inputs must be the same length.
   *
   * <p> The result log probability is defined to be the sum of
   * the log probabilities for each observation/alpha/beta triple.
   *
   * Prior sample sizes, alpha and beta, must be greater than 0.
   *
   * @deprecated use <code>beta_lpdf</code>
   *
   * @param y (Sequence of) scalar(s).
   * @param alpha (Sequence of) prior sample size(s).
   * @param beta (Sequence of) prior sample size(s).
   * @return The log of the product of densities.
   * @tparam T_y Type of scalar outcome.
   * @tparam T_scale_succ Type of prior scale for successes.
   * @tparam T_scale_fail Type of prior scale for failures.
   */
  template <bool propto, typename T_y, typename T_scale_succ,
            typename T_scale_fail>
  return_type_t<T_y, T_scale_succ, T_scale_fail> beta_log(
      const T_y& y, const T_scale_succ& alpha, const T_scale_fail& beta) {
    return beta_lpdf<propto, T_y, T_scale_succ, T_scale_fail>(y, alpha, beta);
  }
  
  /**
   * @deprecated use <code>beta_lpdf</code>
   */
  template <typename T_y, typename T_scale_succ, typename T_scale_fail>
  inline return_type_t<T_y, T_scale_succ, T_scale_fail> beta_log(
      const T_y& y, const T_scale_succ& alpha, const T_scale_fail& beta) {
    return beta_lpdf<T_y, T_scale_succ, T_scale_fail>(y, alpha, beta);
  }
  
  }  // namespace math
  }  // namespace stan
  #endif
  