time-to-botec

Benchmark sampling in different programming languages
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mode.js (1611B)


      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 var floor = require( '@stdlib/math/base/special/floor' );
     25 
     26 
     27 // MAIN //
     28 
     29 /**
     30 * Returns the mode of a negative binomial distribution.
     31 *
     32 * @param {PositiveNumber} r - number of failures until experiment is stopped
     33 * @param {Probability} p - success probability
     34 * @returns {NonNegativeInteger} mode
     35 *
     36 * @example
     37 * var v = mode( 100, 0.2 );
     38 * // returns 396
     39 *
     40 * @example
     41 * var v = mode( 20, 0.5 );
     42 * // returns 19
     43 *
     44 * @example
     45 * var v = mode( 10.3, 0.8 );
     46 * // returns 2
     47 *
     48 * @example
     49 * var v = mode( -2, 0.5 );
     50 * // returns NaN
     51 *
     52 * @example
     53 * var v = mode( 20, 1.1 );
     54 * // returns NaN
     55 *
     56 * @example
     57 * var v = mode( 20, NaN );
     58 * // returns NaN
     59 *
     60 * @example
     61 * var v = mode( NaN, 0.5 );
     62 * // returns NaN
     63 */
     64 function mode( r, p ) {
     65 	if (
     66 		isnan( r ) ||
     67 		isnan( p ) ||
     68 		r <= 0.0 ||
     69 		p < 0.0 ||
     70 		p > 1.0
     71 	) {
     72 		return NaN;
     73 	}
     74 	return floor( ( 1.0-p ) * ( r-1.0 ) / p );
     75 }
     76 
     77 
     78 // EXPORTS //
     79 
     80 module.exports = mode;