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‎stats/base/dists/triangular/quantile/coverage.ndjson

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[362,362,100,35,35,100,4,4,100,362,362,100,"3ee60b4370969d787a3446b90b276f74bc2f9cb3","2025-03-06 22:18:14 -0500"]

‎stats/base/dists/triangular/quantile/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 isnan = require( '@stdlib/math/base/assert/is-nan' );
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var sqrt = require( '@stdlib/math/base/special/sqrt' );
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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 quantile function for a triangular distribution with lower limit `a`, upper limit `b` and mode `c`.
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*
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* @param {number} a - lower limit
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* @param {number} b - upper limit
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* @param {number} c - mode
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* @returns {Function} quantile function
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*
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* @example
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* var quantile = factory( 2.0, 4.0, 2.5 );
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* var y = quantile( 0.4 );
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* // returns ~2.658
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*
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* y = quantile( 0.8 );
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* // returns ~3.225
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*/
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function factory( a, b, c ) {
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var pInflection;
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var fact1;
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var fact2;
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&nbsp;
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if (
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isnan( a ) ||
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isnan( b ) ||
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isnan( c ) ||
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a &gt; c ||
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c &gt; b
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) {
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return constantFunction( NaN );
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}
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&nbsp;
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pInflection = ( c - a ) / ( b - a );
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fact1 = ( b - a ) * ( c - a);
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fact2 = ( b - a ) * ( b - c );
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return quantile;
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&nbsp;
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/**
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* Evaluates the quantile function for a triangular distribution.
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*
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* @private
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* @param {Probability} p - input value
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* @returns {number} evaluated quantile function
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*
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* @example
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* var y = quantile( 0.3 );
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* // returns &lt;number&gt;
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*/
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function quantile( p ) {
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if ( isnan( p ) || p &lt; 0.0 || p &gt; 1.0 ) {
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return NaN;
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}
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if ( p &lt; pInflection ) {
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return a + sqrt( fact1 * p );
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}
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if ( p &gt; pInflection ) {
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return b - sqrt( fact2 * ( 1.0 - p ) );
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}
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// Case: p = pInflection
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return c;
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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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