solving eslint issue in main.js

Author: gkbishnoi07

lib/node_modules/@stdlib/stats/incr/nanmvariance/README.md

@@ -1,3 +1,23 @@
+<!--
+
+@license Apache-2.0
+
+Copyright (c) 2025 The Stdlib Authors.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+   http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+
+-->
+
 # nanmvariance
 
 > Compute a moving [unbiased sample variance][sample-variance] incrementally, ignoring `NaN` values.

lib/node_modules/@stdlib/stats/incr/nanmvariance/lib/main.js

@@ -131,7 +131,6 @@ function incrnanmvariance( W, mean ) {
 			return M2 / n;
 		}
 
-
 		// Update the index for managing the circular buffer:
 		i = ( i+1 ) % W;
 
@@ -178,7 +177,7 @@ function incrnanmvariance( W, mean ) {
 		buf[i] = x;
 		return M2 / n;
 	}
-	
+
 	/**
 	* If provided a value, the accumulator function returns an updated unbiased sample variance, ignoring NaN values. If not provided a value, the accumulator function returns the current unbiased sample variance.
 	*
@@ -199,7 +198,13 @@ function incrnanmvariance( W, mean ) {
 
 		// If incoming value is NaN, ignore it:
 		if ( isnan( x ) ) {
-			return ( N === 0 ) ? null : ( N < W ) ? M2 / N : M2 / W;
+			if ( N === 0 ) {
+				return null;
+			}
+			if (N < W) {
+				return M2 / N;
+			}
+			return M2 / W;
 		}
 
 		// Update the index for managing the circular buffer:
@@ -219,7 +224,7 @@ function incrnanmvariance( W, mean ) {
 		}
 
 		// Case: outgoing value is NaN, which we need to simply replace without affecting the variance
-		else if ( isnan( buf[ i ] ) ) {
+		if ( isnan( buf[ i ] ) ) {
 			buf[ i ] = x;
 
 			// Add the squared difference between the new value and mean
@@ -228,15 +233,13 @@ function incrnanmvariance( W, mean ) {
 		}
 
 		// Case: standard update when neither incoming nor outgoing values are NaN
-		else {
-			tmp = buf[ i ];
+		tmp = buf[ i ];
 
-			// Remove the contribution of the outgoing value
-			M2 -= (tmp - mu) * (tmp - mu);
+		// Remove the contribution of the outgoing value
+		M2 -= ( tmp - mu ) * ( tmp - mu );
 
-			// Add the contribution of the incoming value
-			M2 += (x - mu) * (x - mu);
-		}
+		// Add the contribution of the incoming value
+		M2 += ( x - mu ) * ( x - mu );
 
 		buf[ i ] = x;
 		return M2 / W;