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 | 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 2008x 2008x 2008x 2008x 2006x 2008x 3x 3x 2005x 2005x 2005x 2005x 2005x 2005x 2005x 2005x 2005x 2005x 2005x 2005x 2005x 2005x 2009x 2009x 1x 1x 2009x 2001x 2001x 2001x 7x 2009x 2008x 3x 3x 3x 3x 3x | /**
* @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 isnan = require( '@stdlib/math/base/assert/is-nan' );
var pow = require( '@stdlib/math/base/special/pow' );
// MAIN //
/**
* Returns a function for evaluating the probability mass function (PMF) for a geometric distribution with success probability `p`.
*
* @param {Probability} p - success probability
* @returns {Function} PMF
*
* @example
* var pmf = factory( 0.5 );
* var y = pmf( 3.0 );
* // returns 0.0625
*
* y = pmf( 1.0 );
* // returns 0.25
*/
function factory( p ) {
if (
isnan( p ) ||
p < 0.0 ||
p > 1.0
) {
return constantFunction( NaN );
}
return pmf;
/**
* Evaluates the probability mass function (PMF) for a geometric distribution.
*
* @private
* @param {number} x - input value
* @returns {Probability} evaluated PMF
*
* @example
* var y = pmf( 2.0 );
* // returns <number>
*/
function pmf( x ) {
var q;
if ( isnan( x ) ) {
return NaN;
}
if ( isNonNegativeInteger( x ) ) {
q = 1.0 - p;
return p * pow( q, x );
}
return 0.0;
}
}
// EXPORTS //
module.exports = factory;
|