@stdlib/stats-base-dists NPM

Probability Distributions

Base (i.e., lower-level) probability distribution modules.

Installation

npm install @stdlib/stats-base-dists

Usage

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

dists

Namespace containing "base" (i.e., lower-level) probability distribution modules.

var distributions = dists;
// returns {...}

Continuous Distributions

arcsine: arcsine distribution.
beta: beta distribution.
betaprime: beta prime distribution.
cauchy: Cauchy distribution.
chi: Chi distribution.
chisquare: Chi-squared distribution.
cosine: raised cosine distribution.
erlang: Erlang distribution.
exponential: exponential distribution.
f: fisher's F distribution.
frechet: Fréchet distribution.
gamma: gamma distribution.
gumbel: Gumbel distribution.
invgamma: inverse gamma distribution.
kumaraswamy: Kumaraswamy's double bounded distribution.
laplace: Laplace distribution.
levy: Lévy distribution.
logistic: logistic distribution.
lognormal: lognormal distribution.
normal: normal distribution.
pareto1: Pareto (Type I) distribution.
rayleigh: Rayleigh distribution.
signrank: distribution of the Wilcoxon signed rank test statistic.
tukey: Studentized range distribution.
t: Student's t distribution.
triangular: triangular distribution.
truncatedNormal: truncated normal distribution.
uniform: continuous uniform distribution.

Discrete Distributions

bernoulli: Bernoulli distribution.
binomial: binomial distribution.
discreteUniform: discrete uniform distribution.
geometric: geometric distribution.
hypergeometric: hypergeometric distribution.
negativeBinomial: negative binomial distribution.
poisson: Poisson distribution.

Other

degenerate: degenerate distribution.

Examples

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

console.log( objectKeys( dists ) );

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.