@stdlib/stats/base/dists/lognormal/quantile/lib/main.js

Standard library statistical functions.

/**
* @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 qnormal = require( './../../../../../base/dists/normal/quantile' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var exp = require( '@stdlib/math/base/special/exp' );


// MAIN //

/**
* Evaluates the quantile function for a lognormal distribution with location parameter `mu` and scale parameter `sigma` at a probability `p`.
*
* @param {Probability} p - input value
* @param {number} mu - location parameter
* @param {PositiveNumber} sigma - scale parameter
* @returns {number} evaluated quantile function
*
* @example
* var y = quantile( 0.8, 0.0, 1.0 );
* // returns ~2.32
*
* @example
* var y = quantile( 0.5, 4.0, 2.0 );
* // returns ~54.598
*
* @example
* var y = quantile( 1.1, 0.0, 1.0 );
* // returns NaN
*
* @example
* var y = quantile( -0.2, 0.0, 1.0 );
* // returns NaN
*
* @example
* var y = quantile( NaN, 0.0, 1.0 );
* // returns NaN
*
* @example
* var y = quantile( 0.0, NaN, 1.0 );
* // returns NaN
*
* @example
* var y = quantile( 0.0, 0.0, NaN );
* // returns NaN
*
* @example
* // Negative scale parameter:
* var y = quantile( 0.5, 0.0, -1.0 );
* // returns NaN
*/
function quantile( p, mu, sigma ) {
	if (
		isnan( mu ) ||
		isnan( sigma ) ||
		isnan( p ) ||
		sigma <= 0.0 ||
		p < 0.0 ||
		p > 1.0
	) {
		return NaN;
	}
	return exp( mu + (sigma * qnormal( p, 0.0, 1.0 )) );
}


// EXPORTS //

module.exports = quantile;