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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 isnan = require( '@stdlib/math/base/assert/is-nan' );
var exp = require( '@stdlib/math/base/special/exp' );
var PINF = require( '@stdlib/constants/float64/pinf' );
// MAIN //
/**
* Evaluates the cumulative distribution function (CDF) for an exponential distribution with rate parameter `lambda` at a value `x`.
*
* @param {number} x - input value
* @param {PositiveNumber} lambda - rate parameter
* @returns {Probability} evaluated CDF
*
* @example
* var y = cdf( 2.0, 0.1 );
* // returns ~0.181
*
* @example
* var y = cdf( 1.0, 2.0 );
* // returns ~0.865
*
* @example
* var y = cdf( -1.0, 4.0 );
* // returns 0.0
*
* @example
* var y = cdf( NaN, 1.0 );
* // returns NaN
*
* @example
* var y = cdf( 0.0, NaN );
* // returns NaN
*
* @example
* // Negative rate parameter:
* var y = cdf( 2.0, -1.0 );
* // returns NaN
*/
function cdf( x, lambda ) {
if (
isnan( lambda ) ||
lambda < 0.0 ||
lambda === PINF
) {
return NaN;
}
if ( x < 0.0 ) {
return 0.0;
}
return 1.0 - exp( -lambda * x );
}
// EXPORTS //
module.exports = cdf;
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