All files / dists/binomial/cdf/lib factory.js

57.14% Statements 52/91
100% Branches 1/1
0% Functions 0/1
57.14% Lines 52/91

Press n or j to go to the next uncovered block, b, p or k for the previous block.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 921x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x                                                                               1x 1x 1x 1x 1x  
/**
* @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 isNonNegativeInteger = require( '@stdlib/math/base/assert/is-nonnegative-integer' );
var constantFunction = require( '@stdlib/utils/constant-function' );
var betainc = require( '@stdlib/math/base/special/betainc' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var floor = require( '@stdlib/math/base/special/floor' );
var PINF = require( '@stdlib/constants/float64/pinf' );
 
 
// MAIN //
 
/**
* Returns a function for evaluating the cumulative distribution function (CDF) for a binomial distribution with number of trials `n` and success probability `p`.
*
* @param {NonNegativeInteger} n - number of trials
* @param {Probability} p - success probability
* @returns {Function} CDF
*
* @example
* var cdf = factory( 10, 0.5 );
* var y = cdf( 3.0 );
* // returns ~0.172
*
* y = cdf( 1.0 );
* // returns ~0.011
*/
function factory( n, p ) {
	if (
		isnan( n ) ||
		isnan( p ) ||
		p < 0.0 ||
		p > 1.0 ||
		!isNonNegativeInteger( n ) ||
		n === PINF
	) {
		return constantFunction( NaN );
	}
	return cdf;

	/**
	* Evaluates the cumulative distribution function (CDF) for a binomial distribution.
	*
	* @private
	* @param {number} x - input value
	* @returns {Probability} evaluated CDF
	*
	* @example
	* var y = cdf( 2.0 );
	* // returns <number>
	*/
	function cdf( x ) {
		if ( isnan( x ) ) {
			return NaN;
		}
		if ( x < 0.0 ) {
			return 0.0;
		}
		if ( x >= n ) {
			return 1.0;
		}
		// Ensure left-continuity:
		x = floor( x + 1.0e-7 );
		return betainc( p, x + 1.0, n - x, true, true );
	}
}
 
 
// EXPORTS //
 
module.exports = factory;