Naive Props Mutation

# npm

## @stdlib/stats-base-dists-discrete-uniform-logpmf 0.0.7 • Public • Published

# Logarithm of Probability Mass Function

Evaluate the natural logarithm of the probability mass function (PMF) for a discrete uniform distribution.

The probability mass function (PMF) for a discrete uniform random variable is

where a is the minimum support and b is the maximum support of the distribution. The parameters must satisfy a <= b.

## Installation

npm install @stdlib/stats-base-dists-discrete-uniform-logpmf

## Usage

var logpmf = require( '@stdlib/stats-base-dists-discrete-uniform-logpmf' );

#### logpmf( x, a, b )

Evaluates the natural logarithm of the probability mass function (PMF) for a discrete uniform distribution with parameters a (minimum support) and b (maximum support).

var y = logpmf( 2.0, 0, 4 );
// returns ~-1.609

y = logpmf( 5.0, 0, 4 );
// returns -Infinity

y = logpmf( 3, -4, 4 );
// returns ~-2.197

If provided NaN as any argument, the function returns NaN.

var y = logpmf( NaN, -2, 2 );
// returns NaN

y = logpmf( 1.0, NaN, 4 );
// returns NaN

y = logpmf( 2.0, 0, NaN );
// returns NaN

If a or b is not an integer value, the function returns NaN.

var y = logpmf( 2.0, 1, 5.5 );
// returns NaN

If provided a > b, the function returns NaN.

var y = logpmf( 2.0, 3, 2 );
// returns NaN

#### logpmf.factory( a, b )

Returns a function for evaluating the PMF for a discrete uniform distribution with parameters a (minimum support) and b (maximum support).

var myLogPMF = logpmf.factory( 6, 7 );
var y = myLogPMF( 7.0 );
// returns ~-0.693

y = myLogPMF( 5.0 );
// returns -Infinity

## Examples

var randint = require( '@stdlib/random-base-discrete-uniform' );
var logpmf = require( '@stdlib/stats-base-dists-discrete-uniform-logpmf' );

var randa = randint.factory( 0, 10 );
var randb = randint.factory();
var a;
var b;
var x;
var y;
var i;

for ( i = 0; i < 25; i++ ) {
a = randa();
x = randb( a, a+randa() );
b = randb( a, a+randa() );
y = logpmf( x, a, b );
console.log( 'x: %d, a: %d, b: %d, ln(P(X=x;a,b)): %d', x.toFixed( 4 ), a.toFixed( 4 ), b.toFixed( 4 ), y.toFixed( 4 ) );
}

## Notice

This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.

#### Community ### Install

npm i @stdlib/stats-base-dists-discrete-uniform-logpmf

stdlib.io

88

0.0.7