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‎stats/base/dists/betaprime/cdf/coverage.ndjson

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[249,249,100,27,27,100,3,3,100,249,249,100,"68894a16cc999587091fdc3b014d21b64d3dde79","2025-01-21 15:40:43 -0800"]

‎stats/base/dists/betaprime/cdf/factory.js.html

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<span class="cline-any cline-neutral">&nbsp;</span></td><td class="text"><pre class="prettyprint lang-js">/**
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* @license Apache-2.0
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*
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* Copyright (c) 2018 The Stdlib Authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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&nbsp;
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'use strict';
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&nbsp;
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// MODULES //
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&nbsp;
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var constantFunction = require( '@stdlib/utils/constant-function' );
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var betaFactory = require( '@stdlib/stats/base/dists/beta/cdf' ).factory;
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var isnan = require( '@stdlib/math/base/assert/is-nan' );
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var PINF = require( '@stdlib/constants/float64/pinf' );
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&nbsp;
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&nbsp;
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// MAIN //
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&nbsp;
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/**
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* Returns a function for evaluating the cumulative distribution function (CDF) for a beta prime distribution with first shape parameter `alpha` and second shape parameter `beta`.
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*
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* @param {PositiveNumber} alpha - first shape parameter
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* @param {PositiveNumber} beta - second shape parameter
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* @returns {Function} CDF
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*
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* @example
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* var cdf = factory( 0.5, 0.5 );
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*
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* var y = cdf( 0.8 );
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* // returns ~0.465
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*
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* y = cdf( 0.3 );
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* // returns ~0.319
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*/
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function factory( alpha, beta ) {
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var betaCDF;
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if (
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isnan( alpha ) ||
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isnan( beta ) ||
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alpha &lt;= 0.0 ||
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beta &lt;= 0.0
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) {
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return constantFunction( NaN );
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}
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betaCDF = betaFactory( alpha, beta );
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return cdf;
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&nbsp;
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/**
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* Evaluates the cumulative distribution function (CDF) for a beta prime distribution.
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*
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* @private
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* @param {number} x - input value
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* @returns {Probability} evaluated CDF
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*
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* @example
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* var y = cdf( 2.0 );
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* // returns &lt;number&gt;
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*/
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function cdf( x ) {
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if ( isnan( x ) ) {
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return NaN;
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}
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if ( x &lt;= 0.0 ) {
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return 0.0;
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}
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if ( x === PINF ) {
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return 1.0;
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}
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return betaCDF( x / ( 1.0 + x ) );
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}
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}
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&nbsp;
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&nbsp;
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// EXPORTS //
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&nbsp;
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module.exports = factory;
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&nbsp;</pre></td></tr></table></pre>
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