time-to-botec

Benchmark sampling in different programming languages
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variance.js (1596B)


      1 /**
      2 * @license Apache-2.0
      3 *
      4 * Copyright (c) 2018 The Stdlib Authors.
      5 *
      6 * Licensed under the Apache License, Version 2.0 (the "License");
      7 * you may not use this file except in compliance with the License.
      8 * You may obtain a copy of the License at
      9 *
     10 *    http://www.apache.org/licenses/LICENSE-2.0
     11 *
     12 * Unless required by applicable law or agreed to in writing, software
     13 * distributed under the License is distributed on an "AS IS" BASIS,
     14 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     15 * See the License for the specific language governing permissions and
     16 * limitations under the License.
     17 */
     18 
     19 'use strict';
     20 
     21 // MODULES //
     22 
     23 var isnan = require( '@stdlib/math/base/assert/is-nan' );
     24 
     25 
     26 // MAIN //
     27 
     28 /**
     29 * Returns the variance of a negative binomial distribution.
     30 *
     31 * @param {PositiveNumber} r - number of failures until experiment is stopped
     32 * @param {Probability} p - success probability
     33 * @returns {PositiveNumber} variance
     34 *
     35 * @example
     36 * var v = variance( 100, 0.2 );
     37 * // returns 2000.0
     38 *
     39 * @example
     40 * var v = variance( 20, 0.5 );
     41 * // returns 40.0
     42 *
     43 * @example
     44 * var v = variance( 10.3, 0.8 );
     45 * // returns ~3.219
     46 *
     47 * @example
     48 * var v = variance( -2, 0.5 );
     49 * // returns NaN
     50 *
     51 * @example
     52 * var v = variance( 20, 1.1 );
     53 * // returns NaN
     54 *
     55 * @example
     56 * var v = variance( 20, NaN );
     57 * // returns NaN
     58 *
     59 * @example
     60 * var v = variance( NaN, 0.5 );
     61 * // returns NaN
     62 */
     63 function variance( r, p ) {
     64 	if (
     65 		isnan( r ) ||
     66 		isnan( p ) ||
     67 		r <= 0.0 ||
     68 		p < 0.0 ||
     69 		p > 1.0
     70 	) {
     71 		return NaN;
     72 	}
     73 	return ( ( 1.0-p ) * r ) / ( p*p );
     74 }
     75 
     76 
     77 // EXPORTS //
     78 
     79 module.exports = variance;