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| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 | 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x | /** * @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'; /** * Compute a moving unbiased sample covariance incrementally, while handling NaN values. * * @module @stdlib/stats/incr/nanmcovariance * * @example * var incrnanmcovariance = require( '@stdlib/stats/incr/nanmcovariance' ); * * var accumulator = incrnanmcovariance( 3 ); * * var v = accumulator(); * // returns null * * v = accumulator( 2.0, 1.0 ); * // returns 0.0 * * v = accumulator( NaN, 1.0 ); * // returns 0.0 * * v = accumulator( -5.0, 3.14 ); * // returns ~-7.49 * * v = accumulator( 3.0, -1.0 ); * // returns -8.35 * * v = accumulator( 3.0, NaN ); * // returns -8.35 * * v = accumulator( 5.0, -9.5 ); * // returns -29.42 * * v = accumulator(); * // returns -29.42 * * v = accumulator( NaN, NaN ); * // returns -29.42 */ // MODULES // var main = require( './main.js' ); // EXPORTS // module.exports = main; |