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stan-dev · Aug 6, 2024 · c2b9ed2 · c2b9ed2
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commit c2b9ed2
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Showing 3 changed files with 7 additions and 6 deletions.
diff --git a/stan/math/mix/prob/laplace_marginal_lpdf.hpp b/stan/math/mix/prob/laplace_marginal_lpdf.hpp
@@ -195,8 +195,8 @@ inline auto laplace_marginal_tol_lpmf(
  * @param[in] args A parameter pack of arguments to be send to the covariance
  * function
  */
-template <bool propto = false, typename LFun, typename LArgs,
-          typename CovarFun, typename Theta0, typename... Args>
+template <bool propto = false, typename LFun, typename LArgs, typename CovarFun,
+          typename Theta0, typename... Args>
 inline auto laplace_marginal_tol_lpmf(
     LFun&& L_f, LArgs&& l_args, const Theta0& theta_0, CovarFun&& K_f,
     const double tolerance, const int64_t max_num_steps,

diff --git a/stan/math/mix/prob/laplace_marginal_poisson_log_exposure_lpmf.hpp b/stan/math/mix/prob/laplace_marginal_poisson_log_exposure_lpmf.hpp
@@ -19,7 +19,8 @@ struct poisson_log_exposure_likelihood {
    * @tparam Eta Type of the auxiliary parameter (not used here).
    * @param[in] theta log Poisson rate for each group.
    * @param[in] y First n elements contain the sum of counts in each group
-   * @param[in] ye next n elements the exposure in each group, where n is the number of groups.
+   * @param[in] ye next n elements the exposure in each group, where n is the
+   * number of groups.
    * @param[in] delta_int number of observations in each group.
    * return lpmf for a Poisson with a log link.
    * @param pstream

diff --git a/stan/math/mix/prob/laplace_rng.hpp b/stan/math/mix/prob/laplace_rng.hpp
@@ -41,9 +41,9 @@ namespace math {
  * @param pred_tuple
  * @param args
  */
-template <typename LFun, typename LArgs, typename EtaVec,
-          typename CovarFun, typename ThetaVec, typename RNG,
-          typename TrainTuple, typename PredTuple, typename... Args>
+template <typename LFun, typename LArgs, typename EtaVec, typename CovarFun,
+          typename ThetaVec, typename RNG, typename TrainTuple,
+          typename PredTuple, typename... Args>
 inline Eigen::VectorXd laplace_marginal_tol_rng(
     LFun&& L_f, LArgs&& l_args, const EtaVec& eta, const double tolerance,
     const int64_t max_num_steps, const int hessian_block_size, const int solver,