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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 isNumber = require( '@stdlib/assert/is-number' ).isPrimitive;
var incrmpcorr = require( '@stdlib/stats/incr/mpcorr' );
var isnan = require( '@stdlib/assert/is-nan' );
// MAIN //
/**
* Returns an accumulator function which incrementally computes a moving sample Pearson product-moment correlation coefficient, ignoring `NaN` values.
*
* @param {PositiveInteger} W - window size
* @param {number} [meanx] - mean value
* @param {number} [meany] - mean value
* @throws {TypeError} first argument must be a positive integer
* @throws {TypeError} second argument must be a number
* @throws {TypeError} third argument must be a number
* @returns {Function} accumulator function
*
* @example
* var accumulator = incrnanmpcorr( 3 );
*
* var r = accumulator();
* // returns null
*
* r = accumulator( 2.0, 1.0 );
* // returns 0.0
*
* r = accumulator( -2.0, NaN );
* // returns 0.0
*
* r = accumulator( -5.0, 3.14 );
* // returns ~-1.0
*
* r = accumulator( NaN, 2.71 );
* // returns ~-1.0
*
* r = accumulator( 3.0, -1.0 );
* // returns ~-0.925
*
* r = accumulator( 5.0, -9.5 );
* // returns ~-0.863
*
* r = accumulator();
* // returns ~-0.863
*
* @example
* var accumulator = incrnanmpcorr( 3, -2.0, 10.0 );
*/
function incrnanmpcorr( W, meanx, meany ) {
var mpcorr;
if ( arguments.length > 1 ) {
mpcorr = incrmpcorr( W, meanx, meany );
} else {
mpcorr = incrmpcorr( W );
}
return accumulator;
/**
* If provided a value, the accumulator function returns an updated sample correlation coefficient. If not provided a value, the accumulator function returns the current sample correlation coefficient.
*
* @private
* @param {number} [x] - input value
* @param {number} [y] - input value
* @returns {(number|null)} sample correlation coefficient or null
*/
function accumulator( x, y ) {
if ( arguments.length === 0 || !isNumber( x ) || !isNumber( y ) || isnan( x ) || isnan( y ) ) {
return mpcorr();
}
return mpcorr( x, y );
}
}
// EXPORTS //
module.exports = incrnanmpcorr;
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