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@stdlib/stats-base-dists-beta-quantile

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Beta distribution quantile function.

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/** * @license Apache-2.0 * * Copyright (c) 2018 The Stdlib Authors. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ 'use strict'; // MODULES // var constantFunction = require( '@stdlib/utils-constant-function' ); var betaincinv = require( '@stdlib/math-base-special-betaincinv' ); var isnan = require( '@stdlib/math-base-assert-is-nan' ); // MAIN // /** * Returns a function for evaluating the quantile function for a beta distribution with first shape parameter `alpha` and second shape parameter `beta`. * * @param {PositiveNumber} alpha - first shape parameter * @param {PositiveNumber} beta - second shape parameter * @returns {Function} quantile function * * @example * var quantile = factory( 2.5, 0.5 ); * var y = quantile( 0.5 ); * // returns ~0.904 * * y = quantile( 0.8 ); * // returns ~0.986 */ function factory( alpha, beta ) { if ( isnan( alpha ) || isnan( beta ) || alpha <= 0.0 || beta <= 0.0 ) { return constantFunction( NaN ); } return quantile; /** * Evaluates the quantile function for a beta distribution. * * @private * @param {Probability} p - input value * @returns {number} evaluated quantile function * * @example * var y = quantile( 0.3 ); * // returns <number> */ function quantile( p ) { if ( isnan( p ) || p < 0.0 || p > 1.0 ) { return NaN; } return betaincinv( p, alpha, beta ); } } // EXPORTS // module.exports = factory;