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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 incrmse = require( '@stdlib/stats/incr/mse' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
// MAIN //
/**
* Returns an accumulator function which incrementally computes the mean squared error, ignoring `NaN` values.
*
* @returns {Function} accumulator function
*
* @example
* var accumulator = incrnanmse();
*
* var m = accumulator();
* // returns null
*
* m = accumulator( 2.0, 3.0 );
* // returns 1.0
*
* m = accumulator( 1.0, NaN );
* // returns 1.0
*
* m = accumulator( -5.0, 2.0 );
* // returns 25.0
*
* m = accumulator();
* // returns 25.0
*/
function incrnanmse() {
var mse = incrmse();
return accumulator;
/**
* If provided input values, the accumulator function returns an updated mean squared error. If not provided input values, the accumulator function returns the current mean squared error.
*
* @private
* @param {number} [x] - input value
* @param {number} [y] - input value
* @returns {(number|null)} mean squared error or null
*/
function accumulator( x, y ) {
if ( arguments.length === 0 || isnan( x ) || isnan(y) ) {
return mse();
}
return mse( x, y );
}
}
// EXPORTS //
module.exports = incrnanmse;
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