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Fréchet distribution.
npm install @stdlib/stats-base-dists-frechet
Alternatively,
- To load the package in a website via a
script
tag without installation and bundlers, use the ES Module available on theesm
branch (see README). - If you are using Deno, visit the
deno
branch (see README for usage intructions). - For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the
umd
branch (see README).
The branches.md file summarizes the available branches and displays a diagram illustrating their relationships.
To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.
var frechet = require( '@stdlib/stats-base-dists-frechet' );
Fréchet distribution.
var dist = frechet;
// returns {...}
The namespace contains the following distribution functions:
cdf( x, alpha, s, m )
: Fréchet distribution cumulative distribution function.logcdf( x, alpha, s, m )
: Fréchet distribution logarithm of cumulative distribution function.logpdf( x, alpha, s, m )
: Fréchet distribution logarithm of probability density function.pdf( x, alpha, s, m )
: Fréchet distribution probability density function.quantile( p, alpha, s, m )
: Fréchet distribution quantile function.
The namespace contains the following functions for calculating distribution properties:
entropy( alpha, s, m )
: Fréchet distribution differential entropy.kurtosis( alpha, s, m )
: Fréchet distribution kurtosis.mean( alpha, s, m )
: Fréchet distribution expected value.median( alpha, s, m )
: Fréchet distribution median.mode( alpha, s, m )
: Fréchet distribution mode.skewness( alpha, s, m )
: Fréchet distribution skewness.stdev( alpha, s, m )
: Fréchet distribution standard deviation.variance( alpha, s, m )
: Fréchet distribution variance.
The namespace contains a constructor function for creating a Fréchet distribution object.
Frechet( [alpha, s, m] )
: Fréchet distribution constructor.
var Frechet = require( '@stdlib/stats-base-dists-frechet' ).Frechet;
var dist = new Frechet( 2.0, 4.0, 3.0 );
var y = dist.pdf( 5.5 );
// returns ~0.158
var objectKeys = require( '@stdlib/utils-keys' );
var frechet = require( '@stdlib/stats-base-dists-frechet' );
console.log( objectKeys( frechet ) );
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.