Missed versioning

src/functions-reference/bounded_discrete_distributions.Rmd

@@ -255,7 +255,7 @@ The log Binomial probability mass of n given N trials and chance of success
 `real` **`binomial_logit_glm_lpmf`**`(array[] int n | array[] int N, matrix x, real alpha, vector beta)`<br>\newline
 The log Binomial probability mass of n given N trials and chance of success
 `inv_logit(alpha + x * beta)`.
-`r since("2.18")`
+`r since("2.34")`
 
 <!-- real; binomial_logit_glm_lupmf; (array[] int n | array[] int N, matrix x, real alpha, vector beta); -->
 \index{{\tt \bfseries binomial\_logit\_glm\_lupmf  }!{\tt (array[] int n \textbar\ array[] int N, matrix x, real alpha, vector beta): real}|hyperpage}
@@ -271,7 +271,7 @@ The log Binomial probability mass of n given N trials and chance of success
 `real` **`binomial_logit_glm_lpmf`**`(array[] int n | array[] int N, matrix x, vector alpha, vector beta)`<br>\newline
 The log Binomial probability mass of n given N trials and chance of success
 `inv_logit(alpha + x * beta)`.
-`r since("2.18")`
+`r since("2.34")`
 
 <!-- real; binomial_logit_glm_lupmf; (array[] int n | array[] int N, matrix x, vector alpha, vector beta); -->
 \index{{\tt \bfseries binomial\_logit\_glm\_lupmf  }!{\tt (array[] int n \textbar\ array[] int N, matrix x, vector alpha, vector beta): real}|hyperpage}