https://github.com/libmir/mir-stat

Dlang Statistical Package
https://github.com/libmir/mir-stat

Last synced: 4 months ago
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Dlang Statistical Package

• Host: GitHub
• URL: https://github.com/libmir/mir-stat
• Owner: libmir
• License: other
• Created: 2020-07-05T04:01:56.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2024-01-16T21:23:30.000Z (over 2 years ago)
• Last Synced: 2025-08-22T06:53:41.140Z (9 months ago)
• Language: D
• Homepage: http://mir-stat.libmir.org/
• Size: 533 KB
• Stars: 12
• Watchers: 8
• Forks: 3
• Open Issues: 6
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# Mir Stat

### Statistical algorithms for the D programming language (Dlang).

This package includes statistical algorithms, including but not limited to:

- [Descriptive statistics](http://mir-stat.libmir.org/mir_stat_descriptive.html)

- [Probability distributions](http://mir-stat.libmir.org/mir_stat_distribution.html)

- [Statistical inference](http://mir-stat.libmir.org/mir_stat_inference.html)

- [Data Transformations](http://mir-stat.libmir.org/mir_stat_transform.html)

#### Full Documentation

[mir-stat.libmir.org](http://mir-stat.libmir.org/)

#### Example

```d

@safe pure nothrow

void main()

{

    import mir.algorithm.iteration: all;

    import mir.math.common: approxEqual, pow;

    import mir.test: shouldApprox;

    

    // mir.stat.descriptive

    import mir.stat.descriptive.univariate: mean, kurtosis;

    auto x = [1.0, 2, 3, 4];

    x.mean.shouldApprox == 2.5;

    x.kurtosis.shouldApprox == -1.2;

    

    // mir.stat.distribution

    import mir.stat.distribution.binomial: binomialPMF;

    4.binomialPMF(6, 2.0 / 3).shouldApprox == (15.0 * pow(2.0 / 3, 4) * pow(1.0 / 3, 2));

    // mir.stat.transform

    import mir.stat.transform: zscore;

    assert(x.zscore.all!approxEqual([-1.161895, -0.387298, 0.387298, 1.161895]));

    // mir.stat.inference

    import mir.stat.inference: dAgostinoPearsonTest;

    auto y = [0.0, 1.0, 1.5, 2.0, 3.5, 4.25,

              2.0, 7.5, 5.0, 1.0, 1.5, 0.0];

    double p;

    y.dAgostinoPearsonTest(p).shouldApprox == 4.151936053369771;

}

```