Package Exports

@stdlib/stats-base-dists-logistic-ctor
@stdlib/stats-base-dists-logistic-ctor/dist
@stdlib/stats-base-dists-logistic-ctor/dist/index.js
@stdlib/stats-base-dists-logistic-ctor/lib/index.js

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Readme

About stdlib...

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The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.

When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.

To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!

Logistic

Logistic distribution constructor.

Installation

npm install @stdlib/stats-base-dists-logistic-ctor

Usage

var Logistic = require( '@stdlib/stats-base-dists-logistic-ctor' );

Logistic( [mu, s] )

Returns a logistic distribution object.

var logistic = new Logistic();

var mu = logistic.mean;
// returns 0.0

By default, mu = 0.0 and s = 1.0. To create a distribution having a different mu (location parameter) and s (scale parameter), provide the corresponding arguments.

var logistic = new Logistic( 2.0, 4.0 );

var mu = logistic.mean;
// returns 2.0

logistic

A logistic distribution object has the following properties and methods...

Writable Properties

logistic.mu

Location parameter of the distribution.

var logistic = new Logistic();

var mu = logistic.mu;
// returns 0.0

logistic.mu = 3.0;

mu = logistic.mu;
// returns 3.0

logistic.s

Scale parameter of the distribution. s must be a positive number.

var logistic = new Logistic( 2.0, 4.0 );

var s = logistic.s;
// returns 4.0

logistic.s = 3.0;

s = logistic.s;
// returns 3.0

Computed Properties

Logistic.prototype.entropy

Returns the differential entropy.

var logistic = new Logistic( 4.0, 12.0 );

var entropy = logistic.entropy;
// returns ~4.485

Logistic.prototype.kurtosis

Returns the excess kurtosis.

var logistic = new Logistic( 4.0, 12.0 );

var kurtosis = logistic.kurtosis;
// returns 1.2

Logistic.prototype.mean

Returns the expected value.

var logistic = new Logistic( 4.0, 12.0 );

var mu = logistic.mean;
// returns 4.0

Logistic.prototype.median

Returns the median.

var logistic = new Logistic( 4.0, 12.0 );

var median = logistic.median;
// returns 4.0

Logistic.prototype.mode

Returns the mode.

var logistic = new Logistic( 4.0, 12.0 );

var mode = logistic.mode;
// returns 4.0

Logistic.prototype.skewness

Returns the skewness.

var logistic = new Logistic( 4.0, 12.0 );

var skewness = logistic.skewness;
// returns 0.0

Logistic.prototype.stdev

Returns the standard deviation.

var logistic = new Logistic( 4.0, 12.0 );

var s = logistic.stdev;
// returns ~21.766

Logistic.prototype.variance

Returns the variance.

var logistic = new Logistic( 4.0, 12.0 );

var s2 = logistic.variance;
// returns ~473.741

Methods

Logistic.prototype.cdf( x )

Evaluates the cumulative distribution function (CDF).

var logistic = new Logistic( 2.0, 4.0 );

var y = logistic.cdf( 0.5 );
// returns ~0.407

Logistic.prototype.logcdf( x )

Evaluates the natural logarithm of the cumulative distribution function (CDF).

var logistic = new Logistic( 2.0, 4.0 );

var y = logistic.logcdf( 2.0 );
// returns ~-0.693

Logistic.prototype.logpdf( x )

Evaluates the natural logarithm of the probability density function (PDF).

var logistic = new Logistic( 2.0, 4.0 );

var y = logistic.logpdf( 0.8 );
// returns ~-2.795

Logistic.prototype.mgf( t )

Evaluates the moment-generating function (MGF).

var logistic = new Logistic( 2.0, 4.0 );

var y = logistic.mgf( 0.2 );
// returns ~6.379

Logistic.prototype.pdf( x )

Evaluates the probability density function (PDF).

var logistic = new Logistic( 2.0, 4.0 );

var y = logistic.pdf( 2.0 );
// returns 0.0625

Logistic.prototype.quantile( p )

Evaluates the quantile function at probability p.

var logistic = new Logistic( 2.0, 4.0 );

var y = logistic.quantile( 0.5 );
// returns 2.0

y = logistic.quantile( 1.9 );
// returns NaN

Examples

var Logistic = require( '@stdlib/stats-base-dists-logistic-ctor' );

var logistic = new Logistic( 2.0, 4.0 );

var mean = logistic.mean;
// returns 2.0

var median = logistic.median;
// returns 2.0

var s2 = logistic.variance;
// returns ~52.638

var y = logistic.cdf( 0.8 );
// returns ~0.426

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

License

See LICENSE.

@stdlib/stats-base-dists-logistic-ctor