diff --git a/man-roxygen/details-pred.R b/man-roxygen/details-pred.R
index 3adda26b..f09e0977 100755
--- a/man-roxygen/details-pred.R
+++ b/man-roxygen/details-pred.R
@@ -2,11 +2,11 @@
 #'
 #' Consider a model like:
 #'
-#' \deqn{\begin{aligned}
-#' y &\sim \textrm{SomeDist}(\theta_1, \theta_2)\\
-#' f_1(\theta_1) &= \alpha_1 + \beta_1 x\\
-#' f_2(\theta_2) &= \alpha_2 + \beta_2 x
-#' \end{aligned}}{
+#' \deqn{\begin{array}{rcl}
+#' y &\sim& \textrm{SomeDist}(\theta_1, \theta_2)\\
+#' f_1(\theta_1) &=& \alpha_1 + \beta_1 x\\
+#' f_2(\theta_2) &=& \alpha_2 + \beta_2 x
+#' \end{array}}{
 #' y ~ SomeDist(\theta_1, \theta_2),
 #' f_1(\theta_1) = \alpha_1 + \beta_1*x,
 #' f_2(\theta_2) = \alpha_2 + \beta_2*x
diff --git a/man/add_predicted_draws.Rd b/man/add_predicted_draws.Rd
index 7fe87fb6..b23c2ef9 100755
--- a/man/add_predicted_draws.Rd
+++ b/man/add_predicted_draws.Rd
@@ -316,11 +316,11 @@ the data frame in a long format.
 \details{
 Consider a model like:
 
-\deqn{\begin{aligned}
-y &\sim \textrm{SomeDist}(\theta_1, \theta_2)\\
-f_1(\theta_1) &= \alpha_1 + \beta_1 x\\
-f_2(\theta_2) &= \alpha_2 + \beta_2 x
-\end{aligned}}{
+\deqn{\begin{array}{rcl}
+y &\sim& \textrm{SomeDist}(\theta_1, \theta_2)\\
+f_1(\theta_1) &=& \alpha_1 + \beta_1 x\\
+f_2(\theta_2) &=& \alpha_2 + \beta_2 x
+\end{array}}{
 y ~ SomeDist(\theta_1, \theta_2),
 f_1(\theta_1) = \alpha_1 + \beta_1*x,
 f_2(\theta_2) = \alpha_2 + \beta_2*x
diff --git a/man/add_predicted_rvars.Rd b/man/add_predicted_rvars.Rd
index 1585304e..7a8ca085 100755
--- a/man/add_predicted_rvars.Rd
+++ b/man/add_predicted_rvars.Rd
@@ -249,11 +249,11 @@ the data frame.
 \details{
 Consider a model like:
 
-\deqn{\begin{aligned}
-y &\sim \textrm{SomeDist}(\theta_1, \theta_2)\\
-f_1(\theta_1) &= \alpha_1 + \beta_1 x\\
-f_2(\theta_2) &= \alpha_2 + \beta_2 x
-\end{aligned}}{
+\deqn{\begin{array}{rcl}
+y &\sim& \textrm{SomeDist}(\theta_1, \theta_2)\\
+f_1(\theta_1) &=& \alpha_1 + \beta_1 x\\
+f_2(\theta_2) &=& \alpha_2 + \beta_2 x
+\end{array}}{
 y ~ SomeDist(\theta_1, \theta_2),
 f_1(\theta_1) = \alpha_1 + \beta_1*x,
 f_2(\theta_2) = \alpha_2 + \beta_2*x