mir.stat

This package publicly imports mir.stat.* modules.


Modules	Description
mir.stat.constant	Constants used in other statistical modules
mir.stat.descriptive	Descriptive Statistics
mir.stat.distribution	Statistical Distributions
mir.stat.inference	Probability Density/Mass Functions
mir.stat.transform	Algorithms for statistical inference

Example

import mir.algorithm.iteration: all;
import mir.math.common: approxEqual, pow;
import mir.stat;
import mir.test: shouldApprox;

// mir.stat.descriptive
auto x = [1.0, 2, 3, 4];
x.mean.shouldApprox == 2.5;
x.kurtosis.shouldApprox == -1.2;

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

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

// mir.stat.inference
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;

Modules

constant module mir.stat.constant: This module contains constants used in statistical algorithms.
descriptive module mir.stat.descriptive: This package publicly imports mir.stat.descriptive.* modules.
distribution module mir.stat.distribution: This package publicly imports mir.stat.distribution.* modules.
inference module mir.stat.inference: This module contains statistical inference algorithms.
transform module mir.stat.transform: This module contains algorithms for transforming data that are useful in statistical applications.

Public Imports

mir.stat.constant public import mir.stat.constant;

mir.stat.descriptive public import mir.stat.descriptive;

mir.stat.distribution public import mir.stat.distribution;

mir.stat.inference public import mir.stat.inference;

mir.stat.transform public import mir.stat.transform;

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mir.stat

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