From 650fe7d16ece2bc3751a5cb7f4d5e3054fb59a28 Mon Sep 17 00:00:00 2001
From: Orion Yeung <11580988+orionyeung001@users.noreply.github.com>
Date: Mon, 2 Dec 2024 23:06:16 -0600
Subject: [PATCH] refactor: impl MeanN over generic dimension

---
 src/distribution/multinomial.rs | 10 ++++------
 1 file changed, 4 insertions(+), 6 deletions(-)

diff --git a/src/distribution/multinomial.rs b/src/distribution/multinomial.rs
index f5b88945..f90ead63 100644
--- a/src/distribution/multinomial.rs
+++ b/src/distribution/multinomial.rs
@@ -1,7 +1,7 @@
 use crate::distribution::Discrete;
 use crate::function::factorial;
 use crate::statistics::*;
-use nalgebra::{DVector, Dim, Dyn, OMatrix, OVector};
+use nalgebra::{Dim, Dyn, OMatrix, OVector};
 
 /// Implements the
 /// [Multinomial](https://en.wikipedia.org/wiki/Multinomial_distribution)
@@ -203,7 +203,7 @@ where
     res
 }
 
-impl<D> MeanN<DVector<f64>> for Multinomial<D>
+impl<D> MeanN<OVector<f64, D>> for Multinomial<D>
 where
     D: Dim,
     nalgebra::DefaultAllocator: nalgebra::allocator::Allocator<D>,
@@ -218,10 +218,8 @@ where
     ///
     /// where `n` is the number of trials, `p_i` is the `i`th probability,
     /// and `k` is the total number of probabilities
-    fn mean(&self) -> Option<DVector<f64>> {
-        Some(DVector::from_vec(
-            self.p.iter().map(|x| x * self.n as f64).collect(),
-        ))
+    fn mean(&self) -> Option<OVector<f64, D>> {
+        Some(self.p.map(|x| x * self.n as f64))
     }
 }