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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 incrmmeanvar = require( '@stdlib/stats/incr/mmeanvar' );
// MAIN //
/**
* Returns an accumulator function which incrementally computes a moving arithmetic mean and unbiased sample variance, skipping NaN values.
*
* @param {(ArrayLike|PositiveInteger)} out - output array or window size
* @param {PositiveInteger} [W] - window size
* @throws {TypeError} must provide a positive integer number for window size
* @returns {Function} accumulator function
*
* @example
* var acc = incrnanmmeanvar( 3 );
* acc( 2.0 );
* // returns [ 2, 0 ]
* acc( NaN );
* // returns [ 2, 0 ] (NaN skipped)
* acc( 4.0 );
* // returns [ 3, 2 ]
*
* @example
* var out = [ 0.0, 0.0 ];
* var acc = incrnanmmeanvar( out, 3 );
* acc( 2.0 );
* console.log( out );
* // returns [ 2, 0 ]
*/
function incrnanmmeanvar( out, W ) {
var mmeanvar;
// Detect signature: (W) or (out, W)
if ( arguments.length > 1 ) {
mmeanvar = incrmmeanvar( out, W );
} else {
mmeanvar = incrmmeanvar( out );
}
return accumulator;
/**
* Accumulator function.
*
* @private
* @param {number} [x] - input value
* @returns {(Array|null)} current mean and variance
*/
function accumulator( x ) {
// If no arguments → return current state:
if ( arguments.length === 0 ) {
return mmeanvar();
}
// Skip NaNs (do not update):
if ( isnan( x ) ) {
return mmeanvar();
}
// Update with valid number:
return mmeanvar( x );
}
}
// EXPORTS //
module.exports = incrnanmmeanvar;
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