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* @license Apache-2.0
*
* Copyright (c) 2026 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.
*/
'use strict';
/**
* Compute the variance of a one-dimensional ndarray using a one-pass textbook algorithm.
*
* @module @stdlib/stats/base/ndarray/variancetk
*
* @example
* var vector = require( '@stdlib/ndarray/vector/ctor' );
* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
* var variancetk = require( '@stdlib/stats/base/ndarray/variancetk' );
*
* var opts = {
* 'dtype': 'generic'
* };
*
* // Define a one-dimensional input ndarray:
* var x = vector( [ 1.0, -2.0, 2.0 ], 'generic' );
*
* // Specify the degrees of freedom adjustment:
* var correction = scalar2ndarray( 1.0, opts );
*
* // Compute the variance:
* var v = variancetk( [ x, correction ] );
* // returns ~4.3333
*/
// MODULES //
var main = require( './main.js' );
// EXPORTS //
module.exports = main;
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