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* @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.
*/
'use strict';
// MODULES //
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var incrvariance = require( '@stdlib/stats/incr/variance' );
// MAIN //
/**
* Returns an accumulator function which incrementally computes an unbiased sample variance, ignoring NaN values.
*
* @param {number} [mean] - mean value
* @returns {Function} accumulator function
*
* @example
* var accumulator = incrnanvariance();
*
* var v = accumulator();
* // returns null
*
* v = accumulator( 2.0 );
* // returns 0.0
*
* v = accumulator( NaN );
* // returns 0.0
*
* v = accumulator( -5.0 );
* // returns 24.5
*
* v = accumulator();
* // returns 24.5
*
* @example
* var accumulator = incrnanvariance( 3.14 );
*
* var v = accumulator();
* // returns null
*
* v = accumulator( 2.0 );
* // returns 1.2996
*
* v = accumulator( NaN );
* // returns 1.2996
*
* v = accumulator( -5.0 );
* // returns 33.7796
*
* v = accumulator();
* // returns 33.7796
*/
function incrnanvariance( mean ) {
var variance;
if ( arguments.length === 0 ) {
variance = incrvariance();
} else {
variance = incrvariance( mean );
}
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.
*
* @private
* @param {number} [x] - new value
* @returns {(number|null)} unbiased sample variance or null
*/
function accumulator( x ) {
if ( arguments.length === 0 || isnan( x ) ) {
return variance();
}
return variance( x );
}
}
// EXPORTS //
module.exports = incrnanvariance;
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