About stdlib...
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Logistic distribution.
To use in Observable,
logistic = require( 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-dists-logistic@umd/browser.js' )
To vendor stdlib functionality and avoid installing dependency trees for Node.js, you can use the UMD server build:
var logistic = require( 'path/to/vendor/umd/stats-base-dists-logistic/index.js' )
To include the bundle in a webpage,
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-dists-logistic@umd/browser.js"></script>
If no recognized module system is present, access bundle contents via the global scope:
<script type="text/javascript">
(function () {
window.logistic;
})();
</script>
Logistic distribution.
var dist = logistic;
// returns {...}
The namespace contains the following distribution functions:
cdf( x, mu, s )
: logistic distribution cumulative distribution function.logcdf( x, mu, s )
: logistic distribution logarithm of cumulative distribution function.logpdf( x, mu, s )
: logistic distribution logarithm of probability density function (PDF).mgf( t, mu, s )
: logistic distribution moment-generating function (MGF).pdf( x, mu, s )
: logistic distribution probability density function (PDF).quantile( p, mu, s )
: logistic distribution quantile function.
The namespace contains the following functions for calculating distribution properties:
entropy( mu, s )
: logistic distribution differential entropy.kurtosis( mu, s )
: logistic distribution excess kurtosis.mean( mu, s )
: logistic distribution expected value.median( mu, s )
: logistic distribution median.mode( mu, s )
: logistic distribution mode.skewness( mu, s )
: logistic distribution skewness.stdev( mu, s )
: logistic distribution standard deviation.variance( mu, s )
: logistic distribution variance.
The namespace contains a constructor function for creating a logistic distribution object.
Logistic( [mu, s] )
: logistic distribution constructor.
var Logistic = require( '@stdlib/stats-base-dists-logistic' ).Logistic;
var dist = new Logistic( 2.0, 4.0 );
var y = dist.pdf( 2.0 );
// returns 0.0625
<!DOCTYPE html>
<html lang="en">
<body>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/utils-keys@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-dists-logistic@umd/browser.js"></script>
<script type="text/javascript">
(function () {
console.log( objectKeys( logistic ) );
})();
</script>
</body>
</html>
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.
See LICENSE.
Copyright © 2016-2024. The Stdlib Authors.