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@stdlib/stats

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Standard library statistical functions.

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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 constantFunction = require( '@stdlib/utils/constant-function' ); var isNonNegativeInteger = require( '@stdlib/math/base/assert/is-nonnegative-integer' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var ln = require( '@stdlib/math/base/special/ln' ); var NINF = require( '@stdlib/constants/float64/ninf' ); // MAIN // /** * Returns a function for evaluating the logarithm of the probability mass function (PMF) for a geometric distribution with success probability `p`. * * @param {Probability} p - success probability * @returns {Function} logPMF * * @example * var logpmf = factory( 0.5 ); * var y = logpmf( 3.0 ); * // returns ~-2.773 * * y = logpmf( 1.0 ); * // returns ~-1.386 */ function factory( p ) { if ( isnan( p ) || p < 0.0 || p > 1.0 ) { return constantFunction( NaN ); } return logpmf; /** * Evaluates the logarithm of the probability mass function (PMF) for a geometric distribution. * * @private * @param {number} x - input value * @returns {NonPositiveNumber} evaluated logPMF * * @example * var y = logpmf( 2.0 ); * // returns <number> */ function logpmf( x ) { var q; if ( isnan( x ) ) { return NaN; } if ( isNonNegativeInteger( x ) ) { q = 1.0 - p; return ln( p ) + (x * ln( q )); } return NINF; } } // EXPORTS // module.exports = factory;