@stdlib/stats-base-dists-cosine NPM

Cosine

Raised cosine distribution.

Installation

npm install @stdlib/stats-base-dists-cosine

Usage

var cosine = require( '@stdlib/stats-base-dists-cosine' );

cosine

Raised cosine distribution.

var dist = cosine;
// returns {...}

The namespace contains the following distribution functions:

cdf( x, mu, s ): raised cosine distribution cumulative distribution function.
logcdf( x, mu, s ): evaluate the natural logarithm of the cumulative distribution function (CDF) for a raised cosine distribution.
logpdf( x, mu, s ): raised cosine distribution logarithm of probability density function (PDF).
mgf( t, mu, s ): raised cosine distribution moment-generating function.
pdf( x, mu, s ): raised cosine distribution probability density function (PDF).
quantile( p, mu, s ): raised cosine distribution quantile function.

The namespace contains the following functions for calculating distribution properties:

kurtosis( mu, s ): raised cosine distribution excess kurtosis.
mean( mu, s ): raised cosine distribution expected value.
median( mu, s ): raised cosine distribution median.
mode( mu, s ): raised cosine distribution mode.
skewness( mu, s ): raised cosine distribution skewness.
stdev( mu, s ): raised cosine distribution standard deviation.
variance( mu, s ): raised cosine distribution variance.

The namespace contains a constructor function for creating a raised cosine distribution object.

Cosine( [mu, s] ): raised cosine distribution constructor.

var Cosine = require( '@stdlib/stats-base-dists-cosine' ).Cosine;

var dist = new Cosine( 2.0, 4.0 );

var y = dist.cdf( 0.5 );
// returns ~0.165

Examples

var objectKeys = require( '@stdlib/utils-keys' );
var cosine = require( '@stdlib/stats-base-dists-cosine' );

console.log( objectKeys( cosine ) );

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.