refactor: ensure existing conventions for lib's files

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
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    status: passed
  - task: lint_editorconfig
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  - task: lint_markdown
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---

Author: rahulptl165

lib/node_modules/@stdlib/stats/base/nanmeanors/benchmark/benchmark.js

@@ -27,7 +27,7 @@ var filledarrayBy = require( '@stdlib/array/filled-by' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var pkg = require( './../package.json' ).name;
-var nanmeanors = require( './../lib/nanmeanors.js' );
+var nanmeanors = require( './../lib/main.js' );
 
 
 // FUNCTIONS //

lib/node_modules/@stdlib/stats/base/nanmeanors/lib/index.js

@@ -27,25 +27,29 @@
 * var nanmeanors = require( '@stdlib/stats/base/nanmeanors' );
 *
 * var x = [ 1.0, -2.0, NaN, 2.0 ];
-* var N = x.length;
 *
-* var v = nanmeanors( N, x, 1 );
+* var v = nanmeanors( 4, x, 1 );
 * // returns ~0.3333
 *
 * @example
-* var floor = require( '@stdlib/math/base/special/floor' );
 * var nanmeanors = require( '@stdlib/stats/base/nanmeanors' );
 *
 * var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ];
-* var N = floor( x.length / 2 );
 *
-* var v = nanmeanors.ndarray( N, x, 2, 1 );
+* var v = nanmeanors.ndarray( 4, x, 2, 1 );
 * // returns 1.25
 */
 
 // MODULES //
 
+var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
 var main = require( './main.js' );
+var ndarray = require( './ndarray.js' );
+
+
+// MAIN //
+
+setReadOnly( main, 'ndarray', ndarray );
 
 
 // EXPORTS //

lib/node_modules/@stdlib/stats/base/nanmeanors/lib/main.js

@@ -20,14 +20,29 @@
 
 // MODULES //
 
-var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
-var nanmeanors = require( './nanmeanors.js' );
+var stride2offset = require( '@stdlib/strided/base/stride2offset' );
 var ndarray = require( './ndarray.js' );
 
 
 // MAIN //
 
-setReadOnly( nanmeanors, 'ndarray', ndarray );
+/**
+* Computes the arithmetic mean of a strided array, ignoring `NaN` values and using ordinary recursive summation.
+*
+* @param {PositiveInteger} N - number of indexed elements
+* @param {NumericArray} x - input array
+* @param {integer} strideX - stride length
+* @returns {number} arithmetic mean
+*
+* @example
+* var x = [ 1.0, -2.0, NaN, 2.0 ];
+*
+* var v = nanmeanors( 4, x, 1 );
+* // returns ~0.3333
+*/
+function nanmeanors( N, x, strideX ) {
+	return ndarray( N, x, strideX, stride2offset( N, strideX ) );
+}
 
 
 // EXPORTS //

lib/node_modules/@stdlib/stats/base/nanmeanors/lib/nanmeanors.js

@@ -24,7 +24,7 @@ var tape = require( 'tape' );
 var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var Float64Array = require( '@stdlib/array/float64' );
-var nanmeanors = require( './../lib/nanmeanors.js' );
+var nanmeanors = require( './../lib/main.js' );
 
 
 // TESTS //