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* @license Apache-2.0
*
* Copyright (c) 2025 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 addon = require( './../src/addon.node' );
// MAIN //
/**
* Evaluates the natural logarithm of the probability density function (PDF) for a Kumaraswamy's double bounded distribution with first shape parameter `a` and second shape parameter `b` at a value `x`.
*
* @private
* @param {number} x - input value
* @param {PositiveNumber} a - first shape parameter
* @param {PositiveNumber} b - second shape parameter
* @returns {number} evaluated logPDF
*
* @example
* var y = logpdf( 0.5, 1.0, 1.0 );
* // returns 0.0
*
* @example
* var y = logpdf( 0.5, 2.0, 4.0 );
* // returns ~0.523
*
* @example
* var y = logpdf( 0.2, 2.0, 2.0 );
* // returns ~-0.264
*
* @example
* var y = logpdf( 0.8, 4.0, 4.0 );
* // returns ~0.522
*
* @example
* var y = logpdf( -0.5, 4.0, 2.0 );
* // returns -Infinity
*
* @example
* var y = logpdf( 1.5, 4.0, 2.0 );
* // returns -Infinity
*
* @example
* var y = logpdf( 2.0, -1.0, 0.5 );
* // returns NaN
*
* @example
* var y = logpdf( 2.0, 0.5, -1.0 );
* // returns NaN
*
* @example
* var y = logpdf( NaN, 1.0, 1.0 );
* // returns NaN
*
* @example
* var y = logpdf( 0.0, NaN, 1.0 );
* // returns NaN
*
* @example
* var y = logpdf( 0.0, 1.0, NaN );
* // returns NaN
*/
function logpdf( x, a, b ) {
return addon( x, a, b );
}
// EXPORTS //
module.exports = logpdf;
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