Start signature formatting

Author: WardBrian

src/functions-reference/embedded_laplace.qmd

@@ -209,24 +209,34 @@ group the $i^\text{th}$ observation belongs to.
 
 The signatures for the embedded Laplace approximation function with a Poisson
 likelihood are
-```
-real laplace_marginal_poisson_log_lpmf(array[] int y | array[] int y_index,
-                                    vector theta0, function K_function, tuple(...));
 
-real laplace_marginal_tol_poisson_log_lpmf(array[] int y | array[] int y_index,
-                               vector theta0, function K_function, tuple(...),
-                               real tol, int max_steps, int hessian_block_size,
-                               int solver, int max_steps_linesearch);
+<!-- real; laplace_marginal_poisson_log_lpmf; (array[] int y \textbar\ array[] int y_index, vector theta0, function K_function, tuple(...)); -->
+\index{{\tt \bfseries laplace\_marginal\_poisson\_log\_lpmf }!{\tt (array[] int y \textbar\ array[] int y\_index, vector theta0, function K\_function, tuple(...)): real}|hyperpage}
 
-vector laplace_latent_poisson_log_rng(array[] int y, array[] int y_index,
-                               vector theta0, function K_function, tuple(...));
+`real` **`laplace_marginal_poisson_log_lpmf`**`(array[] int y \textbar\ array[] int y_index, vector theta0, function K_function, tuple(...))`<br>\newline
 
-vector laplace_latent_tol_poisson_log_rng(array[] int y, array[] int y_index,
-                               vector theta0, function K_function, tuple(...),
-                               real tol, int max_steps, int hessian_block_size,
-                               int solver, int max_steps_linesearch);
-```
+{{< since 2.37 >}}
+
+<!-- real; laplace_marginal_tol_poisson_log_lpmf; (array[] int y \textbar\ array[] int y_index, vector theta0, function K_function, tuple(...), real tol, int max_steps, int hessian_block_size, int solver, int max_steps_linesearch); -->
+\index{{\tt \bfseries laplace\_marginal\_tol\_poisson\_log\_lpmf }!{\tt (array[] int y \textbar\ array[] int y\_index, vector theta0, function K\_function, tuple(...), real tol, int max\_steps, int hessian\_block\_size, int solver, int max\_steps\_linesearch): real}|hyperpage}
+
+`real` **`laplace_marginal_tol_poisson_log_lpmf`**`(array[] int y \textbar\ array[] int y_index, vector theta0, function K_function, tuple(...), real tol, int max_steps, int hessian_block_size, int solver, int max_steps_linesearch)`<br>\newline
+
+{{< since 2.37 >}}
+
+<!-- vector; laplace_latent_poisson_log_rng; (array[] int y, array[] int y_index, vector theta0, function K_function, tuple(...)); -->
+\index{{\tt \bfseries laplace\_latent\_poisson\_log\_rng }!{\tt (array[] int y, array[] int y\_index, vector theta0, function K\_function, tuple(...)): vector}|hyperpage}
+
+`vector` **`laplace_latent_poisson_log_rng`**`(array[] int y, array[] int y_index, vector theta0, function K_function, tuple(...))`<br>\newline
+
+{{< since 2.37 >}}
+
+<!-- vector; laplace_latent_tol_poisson_log_rng; (array[] int y, array[] int y_index, vector theta0, function K_function, tuple(...), real tol, int max_steps, int hessian_block_size, int solver, int max_steps_linesearch); -->
+\index{{\tt \bfseries laplace\_latent\_tol\_poisson\_log\_rng }!{\tt (array[] int y, array[] int y\_index, vector theta0, function K\_function, tuple(...), real tol, int max\_steps, int hessian\_block\_size, int solver, int max\_steps\_linesearch): vector}|hyperpage}
+
+`vector` **`laplace_latent_tol_poisson_log_rng`**`(array[] int y, array[] int y_index, vector theta0, function K_function, tuple(...), real tol, int max_steps, int hessian_block_size, int solver, int max_steps_linesearch)`<br>\newline
 
+{{< since 2.37 >}}
 
 A similar built-in likelihood lets users specify an offset $x_i \in \mathbb R^+$
 to the rate parameter of the Poisson. The likelihood is then,