fix: changes

Author: Krishna-Sharma-g

lib/node_modules/@stdlib/stats/incr/nanvariance/docs/repl.txt

@@ -1,57 +1,31 @@
-/*
-* @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.
-*/
-
 {{alias}}( [mean] )
-Returns an accumulator function which incrementally computes an unbiased sample variance, ignoring NaN values.
-
-If provided a value, the accumulator function returns an updated unbiased sample variance. If not provided a value, the accumulator function returns the current unbiased sample variance.
-
-If provided `NaN`, the `NaN` value is ignored and the current accumulated variance is returned.
-
-
-Parameters
-----------
-mean: number (optional)
-    Known mean.
-
-
-Returns
--------
-acc: Function
-    Accumulator function.
-
-
-Examples
---------
-> var accumulator = {{alias}}();
-> var s2 = accumulator()
-null
-> s2 = accumulator( 2.0 )
-0.0
-> s2 = accumulator( NaN )
-0.0
-> s2 = accumulator( -5.0 )
-24.5
-> s2 = accumulator()
-24.5
-
-
-See Also
---------
-@stdlib/stats/incr/variance
-@stdlib/stats/incr/nanstdev
+    Returns an accumulator function which incrementally computes an unbiased
+    sample variance, ignoring NaN values.
+    If provided a value, the accumulator function returns an updated unbiased
+    sample variance. If not provided a value, the accumulator function returns
+    the current unbiased sample variance.
+    If provided `NaN`, the `NaN` value is ignored and the current accumulated
+    variance is returned.
+    Parameters
+    ----------
+    mean: number (optional)
+        Known mean.
+    Returns
+    -------
+    acc: Function
+        Accumulator function.
+    Examples
+    --------
+    > var accumulator = {{alias}}();
+    > var s2 = accumulator()
+    null
+    > s2 = accumulator( 2.0 )
+    0.0
+    > s2 = accumulator( NaN )
+    0.0
+    > s2 = accumulator( -5.0 )
+    24.5
+    > s2 = accumulator()
+    24.5
+    See Also
+    --------

lib/node_modules/@stdlib/stats/incr/nanvariance/docs/types/test.ts

@@ -16,8 +16,7 @@
 * limitations under the License.
 */
 
-import incrnanvariance from './index' ;
-
+import incrnanvariance = require( './index' );
 
 // TESTS //
 
@@ -29,13 +28,13 @@ import incrnanvariance from './index' ;
 
 // The compiler throws an error if the function is provided invalid arguments...
 {
-	incrnanvariance( '5' as any ); // $ExpectError
-	incrnanvariance( true as any ); // $ExpectError
-	incrnanvariance( false as any ); // $ExpectError
-	incrnanvariance( null as any ); // $ExpectError
-	incrnanvariance( [] as any ); // $ExpectError
-	incrnanvariance( {} as any ); // $ExpectError
-	incrnanvariance( ((x: number): number => x) as any ); // $ExpectError
+	incrnanvariance( '5' ); // $ExpectError
+	incrnanvariance( true ); // $ExpectError
+	incrnanvariance( false ); // $ExpectError
+	incrnanvariance( null ); // $ExpectError
+	incrnanvariance( [] ); // $ExpectError
+	incrnanvariance( {} ); // $ExpectError
+	incrnanvariance( ( x: number ): number => x ); // $ExpectError
 }
 
 // The function returns an accumulator function which returns an accumulated result...
@@ -48,11 +47,11 @@ import incrnanvariance from './index' ;
 // The compiler throws an error if the returned accumulator function is provided invalid arguments...
 {
 	const acc = incrnanvariance();
-	acc( '5' as any ); // $ExpectError
-	acc( true as any ); // $ExpectError
-	acc( false as any ); // $ExpectError
-	acc( null as any ); // $ExpectError
-	acc( [] as any ); // $ExpectError
-	acc( {} as any ); // $ExpectError
-	acc( ((x: number): number => x) as any ); // $ExpectError
-}
+	acc( '5' ); // $ExpectError
+	acc( true ); // $ExpectError
+	acc( false ); // $ExpectError
+	acc( null ); // $ExpectError
+	acc( [] ); // $ExpectError
+	acc( {} ); // $ExpectError
+	acc( ( x: number ): number => x ); // $ExpectError
+}

lib/node_modules/@stdlib/stats/incr/nanvariance/lib/index.js

@@ -52,7 +52,7 @@
 * // returns null
 *
 * v = accumulator( 2.0 );
-* // returns 1.2996
+* // returns ~1.2996
 *
 * v = accumulator( NaN );
 * // returns 1.2996

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

@@ -20,35 +20,16 @@
 
 // MODULES //
 
-var isNumber = require( '@stdlib/assert/is-number' ).isPrimitive;
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var format = require( '@stdlib/string/format' );
+var incrvariance = require( '@stdlib/stats/incr/variance' );
 
 
 // MAIN //
 
 /**
 * Returns an accumulator function which incrementally computes an unbiased sample variance, ignoring NaN values.
 *
-* ## Method
-*
-* -   This implementation uses Welford's algorithm for efficient computation, which is a numerically stable version of the following recurrence relation:
-*
-*     ```tex
-*     \begin{align}
-*     S_n &= \sum_{i=0}^{n} (x_i - \bar{x}_n)^2\\
-*     \end{align}
-*     ```
-*
-*     where $S_n$ is the sum of squared deviations from the mean.
-*
-* ## References
-*
-* -   Welford, B. P. (1962). "Note on a Method for Calculating Corrected Sums of Squares and Products." _Technometrics_ 4(3):419–20. <https://doi.org/10.1080/00401706.1962.10490022>.
-* -   van Reeken, A. J. (1968). "Letters to the Editor: Dealing with Neely's Algorithms." _Communications of the ACM_ 11(3):149–50. <https://doi.org/10.1145/362929.362961>.
-*
 * @param {number} [mean] - mean value
-* @throws {TypeError} must provide a number primitive
 * @returns {Function} accumulator function
 *
 * @example
@@ -88,59 +69,15 @@ var format = require( '@stdlib/string/format' );
 * // returns 33.7796
 */
 function incrnanvariance( mean ) {
-	var delta;
-	var mu;
-	var M2;
-	var N;
-
-	M2 = 0.0;
-	N = 0;
+	var variance;
 
-	if ( arguments.length ) {
-		if ( !isNumber( mean ) ) {
-			throw new TypeError( format( 'invalid argument. Must provide a number. Value: `%s`.', mean ) );
-		}
-		mu = mean;
-		return accumulator2;
+	if ( arguments.length === 0 ) {
+		variance = incrvariance();
+	} else {
+		variance = incrvariance( mean );
 	}
-	mu = 0.0;
-	return accumulator1;
 
-	/**
-	* If provided a value, the accumulator function returns an updated unbiased sample variance. If not provided a value, the accumulator function returns the current unbiased sample variance.
-	*
-	* @private
-	* @param {number} [x] - new value
-	* @returns {(number|null)} unbiased sample variance or null
-	*/
-	function accumulator1( x ) {
-		if ( arguments.length === 0 ) {
-			if ( N === 0 ) {
-				return null;
-			}
-			if ( N === 1 ) {
-				return 0.0;
-			}
-			return M2 / (N-1);
-		}
-		if ( isnan( x ) ) {
-			if ( N === 0 ) {
-				return null;
-			}
-			if ( N === 1 ) {
-				return 0.0;
-			}
-			return M2 / (N-1);
-		}
-		N += 1;
-		delta = x - mu;
-		mu += delta / N;
-		M2 += delta * ( x - mu );
-		if ( N < 2 ) {
-			return 0.0;
-		}
-		return M2 / (N-1);
-	}
+	return accumulator;
 
 	/**
 	* If provided a value, the accumulator function returns an updated unbiased sample variance. If not provided a value, the accumulator function returns the current unbiased sample variance.
@@ -149,24 +86,11 @@ function incrnanvariance( mean ) {
 	* @param {number} [x] - new value
 	* @returns {(number|null)} unbiased sample variance or null
 	*/
-	function accumulator2( x ) {
-		if ( arguments.length === 0 ) {
-			if ( N === 0 ) {
-				return null;
-			}
-			return M2 / N;
-		}
-		if ( isnan( x ) ) {
-			if ( N === 0 ) {
-				return null;
-			}
-			return M2 / N;
+	function accumulator( x ) {
+		if ( arguments.length === 0 || isnan( x ) ) {
+			return variance();
 		}
-		// Important: For the known mean case, we're simply summing squared deviations
-		delta = x - mu;
-		M2 += delta * delta;
-		N += 1;
-		return M2 / N;
+		return variance( x );
 	}
 }
 

lib/node_modules/@stdlib/stats/incr/nanvariance/package.json

@@ -66,8 +66,6 @@
     "incremental",
     "accumulator",
     "nan",
-    "missing values",
-    "ignore",
-    "ignoring"
+  "missing values"
   ]
 }