time-to-botec

Benchmark sampling in different programming languages
Log | Files | Refs | README

mode.js (1686B)


      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 pow = require( '@stdlib/math/base/special/pow' );
     25 
     26 
     27 // MAIN //
     28 
     29 /**
     30 * Returns the mode for a Fréchet distribution with shape `alpha`, scale `s`, and location `m`.
     31 *
     32 * @param {PositiveNumber} alpha - shape parameter
     33 * @param {PositiveNumber} s - scale parameter
     34 * @param {number} m - location parameter
     35 * @returns {number} mode
     36 *
     37 * @example
     38 * var y = mode( 5.0, 2.0, 0.0 );
     39 * // returns ~1.928
     40 *
     41 * @example
     42 * var y = mode( 5.0, 2.0, -5.0 );
     43 * // returns ~-3.072
     44 *
     45 * @example
     46 * var y = mode( 1.0, 1.0, 0.0 );
     47 * // returns ~0.5
     48 *
     49 * @example
     50 * var y = mode( NaN, 1.0, 0.0 );
     51 * // returns NaN
     52 *
     53 * @example
     54 * var y = mode( 1.0, NaN, 0.0 );
     55 * // returns NaN
     56 *
     57 * @example
     58 * var y = mode( 1.0, 1.0, NaN );
     59 * // returns NaN
     60 */
     61 function mode( alpha, s, m ) {
     62 	var ainv;
     63 	if (
     64 		isnan( alpha ) ||
     65 		isnan( s ) ||
     66 		isnan( m ) ||
     67 		alpha <= 0.0 ||
     68 		s <= 0.0
     69 	) {
     70 		return NaN;
     71 	}
     72 	ainv = 1.0 / alpha;
     73 	return m + ( s * pow( 1.0+ainv, -ainv ) );
     74 }
     75 
     76 
     77 // EXPORTS //
     78 
     79 module.exports = mode;