| 1 | # Probability Distributions Library for JavaScript
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| 2 | Functions for sampling random variables from probability distributions. Uses the same function names as R.
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| 3 |
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| 4 | ## Installation
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| 5 |
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| 6 | `npm install --save probability-distributions`
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| 7 |
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| 8 | `var PD = require("probability-distributions");`
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| 9 |
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| 10 | ## Documentation and examples
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| 11 | **See <a href="http://statisticsblog.com/probability-distributions/">http://statisticsblog.com/probability-distributions/</a>**
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| 12 |
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| 13 |
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| 14 | ## Currently supported
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| 15 |
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| 16 | - Binomial distribution
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| 17 |
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| 18 | - Beta distribution
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| 19 |
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| 20 | - Cauchy distribution
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| 21 |
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| 22 | - Chi-Squared distribution
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| 23 |
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| 24 | - Exponential distribution
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| 25 |
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| 26 | - F distribution
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| 27 |
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| 28 | - Gamma distribution
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| 29 |
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| 30 | - Laplace distribution
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| 31 |
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| 32 | - Log Normal distribution
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| 33 |
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| 34 | - Negative Binomial distribution
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| 35 |
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| 36 | - Normal (Gaussian) distribution
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| 37 |
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| 38 | - Poisson distribution (not recommended for lambda > 100)
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| 39 |
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| 40 | - Sample (shuffle an array, or select items using optional array of weights)
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| 41 |
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| 42 | - Uniform distribution (with entropy option for standard uniform)
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| 43 |
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| 44 |
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| 45 | ## Warning
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| 46 |
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| 47 | This package contains additional distributions marked as "experimental". Use these with extreme caution.
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| 48 |
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| 49 |
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| 50 | ## License
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| 51 |
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| 52 | MIT |
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