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probdist\n\n[![Build Status](https://travis-ci.org/rodrigosetti/probdist.svg?branch=master)](https://travis-ci.org/rodrigosetti/probdist) [![Coverage Status](https://coveralls.io/repos/rodrigosetti/probdist/badge.svg?branch=master\u0026service=github)](https://coveralls.io/github/rodrigosetti/probdist?branch=master)\n\n[![NPM](https://nodei.co/npm/probdist.png)](https://npmjs.org/package/probdist)\n\nProbability Distributions implementations in Javascript.\n\nThe following distributions are implemented:\n\n * Uniform\n * Discrete Uniform\n * Bernoulli\n * Binomial\n * Negative Binomial\n * Geometric\n * Gaussian\n * Cauchy\n * Categorical\n * Poisson\n * Exponential\n * Chi-squared\n * Beta\n * Pareto\n * Gamma\n * Rayleigh\n * Student's T\n * Snedecor's F\n\nExample of usage:\n\n```javascript\nvar distributions = require('probdist');\nvar X = distributions.gaussian(0, 1);\n\nX.sample(10);\n// [ 0.5658508553376578,\n//   0.028141615149934296,\n//   0.35359657318758764,\n//   -0.5021456049431663,\n//   0.7315022110154814,\n//   0.12995158841761167,\n//   0.6366737204564288,\n//   -0.7940757196582808,\n//   0.8273505445946512,\n//   -2.352834867962656 ]\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frodrigosetti%2Fprobdist","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frodrigosetti%2Fprobdist","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frodrigosetti%2Fprobdist/lists"}