diff --git a/src/sample_hyper.cpp b/src/sample_hyper.cpp
index 3464a2c..b349147 100644
--- a/src/sample_hyper.cpp
+++ b/src/sample_hyper.cpp
@@ -110,25 +110,25 @@ double log_ml(
   
   double log_ml    = 0;
   mat    inv_Omega = diagmat(1 / Omega.diag());
-  
+
   try {
     mat XX   = X.t() * X + inv_Omega;
     mat Bhat = solve(XX, X.t() * Y + inv_Omega * b, solve_opts::likely_sympd);
     mat ehat = Y - X * Bhat;
-    
-    log_ml += - N * T / 2.0 * log(M_PI);
-    log_ml += log_mvgamma(N, (T + d) / 2.0);
-    log_ml += -log_mvgamma(N, d / 2.0);
-    log_ml += - N / 2.0 * log_det_sympd(Omega);
-    log_ml += d / 2.0 * log_det_sympd(Psi);
-    log_ml += - N / 2.0 * log_det_sympd(XX);
-    mat A   = Psi + ehat.t() * ehat + (Bhat - b).t() * inv_Omega * (Bhat - b);
-    log_ml += - (T + d) / 2.0 * log_det_sympd(A);
-    
-  } catch(std::runtime_error) {
+
+    log_ml  += - N * T / 2.0 * log(M_PI);
+    log_ml  += log_mvgamma(N, (T + d) / 2.0);
+    log_ml  += -log_mvgamma(N, d / 2.0);
+    log_ml  += - N / 2.0 * log_det_sympd(Omega);
+    log_ml  += d / 2.0 * log_det_sympd(Psi);
+    log_ml  += - N / 2.0 * log_det_sympd(XX);
+    mat A    = Psi + ehat.t() * ehat + (Bhat - b).t() * inv_Omega * (Bhat - b);
+    log_ml  += - (T + d) / 2.0 * log_det_sympd(A);
+
+  } catch(const std::runtime_error& e) {
     log_ml = -1e+10;
   }
-  
+
   return log_ml;
 }