time-to-botec

Benchmark sampling in different programming languages
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logpdf.js (1880B)


      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 betaln = require( '@stdlib/math/base/special/betaln' );
     25 var sqrt = require( '@stdlib/math/base/special/sqrt' );
     26 var pow = require( '@stdlib/math/base/special/pow' );
     27 var ln = require( '@stdlib/math/base/special/ln' );
     28 
     29 
     30 // MAIN //
     31 
     32 /**
     33 * Evaluates the natural logarithm of the probability density function (PDF) for a Student's t distribution with degrees of freedom `v` at a value `x`.
     34 *
     35 * @param {number} x - input value
     36 * @param {PositiveNumber} v - degrees of freedom
     37 * @returns {number} evaluated logPDF
     38 *
     39 * @example
     40 * var y = logpdf( 0.3, 4.0 );
     41 * // returns ~-1.036
     42 *
     43 * @example
     44 * var y = logpdf( 2.0, 0.7 );
     45 * // returns ~-2.841
     46 *
     47 * @example
     48 * var y = logpdf( -1.0, 0.5 );
     49 * // returns ~-2.134
     50 *
     51 * @example
     52 * var y = logpdf( 0.0, NaN );
     53 * // returns NaN
     54 *
     55 * @example
     56 * var y = logpdf( NaN, 2.0 );
     57 * // returns NaN
     58 *
     59 * @example
     60 * var y = logpdf( 2.0, -1.0 );
     61 * // returns NaN
     62 */
     63 function logpdf( x, v ) {
     64 	var betaTerm;
     65 	if (
     66 		isnan( x ) ||
     67 		isnan( v ) ||
     68 		v <= 0.0
     69 	) {
     70 		return NaN;
     71 	}
     72 	betaTerm = ln( sqrt( v ) ) + betaln( v/2.0, 0.5 );
     73 	return ( ( (1.0+v) / 2.0 ) * ln( v / ( v + pow( x, 2.0 ) ) ) ) - betaTerm;
     74 }
     75 
     76 
     77 // EXPORTS //
     78 
     79 module.exports = logpdf;