@stdlib/stats-base-dists-degenerate-logpmf
v0.2.2
Published
Natural logarithm of the probability mass function (PMF) for a degenerate distribution.
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Logarithm of Probability Mass Function
Evaluate the natural logarithm of the probability mass function (PMF) for a degenerate distribution.
Installation
npm install @stdlib/stats-base-dists-degenerate-logpmf
Usage
var logpmf = require( '@stdlib/stats-base-dists-degenerate-logpmf' );
logpmf( x, mu )
Evaluates the natural logarithm of the PMF for a degenerate distribution centered at mu
.
var y = logpmf( 2.0, 8.0 );
// returns -Infinity
y = logpmf( 8.0, 8.0 );
// returns 0.0
logpmf.factory( mu )
Returns a function for evaluating the natural logarithm of the PMF of a degenerate distribution centered at mu
.
var mylogpmf = logpmf.factory( 10.0 );
var y = mylogpmf( 10.0 );
// returns 0.0
y = mylogpmf( 5.0 );
// returns -Infinity
y = mylogpmf( 12.0 );
// returns -Infinity
Examples
var randu = require( '@stdlib/random-base-randu' );
var round = require( '@stdlib/math-base-special-round' );
var logpmf = require( '@stdlib/stats-base-dists-degenerate-logpmf' );
var mu;
var x;
var y;
var i;
for ( i = 0; i < 100; i++ ) {
x = round( randu()*5.0 );
mu = round( randu()*5.0 );
y = logpmf( x, mu );
console.log( 'x: %d, µ: %d, ln(P(X=x;µ)): %d', x, mu, y );
}
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.
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License
See LICENSE.
Copyright
Copyright © 2016-2024. The Stdlib Authors.