Standard library probability distribution modules.
JavaScript
9
0
Apache License 2.0
This is a JavaScript library that provides a comprehensive collection of lower-level probability distribution modules for statistical computing. It includes implementations of continuous distributions (like normal, beta, gamma, etc.), discrete distributions (like binomial, Poisson, etc.), and other special distributions, designed for use in Node.js and browser environments. The library is part of stdlib, a standard library focused on numerical and scientific computation.
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Arcsine distribution.
Bernoulli distribution.
Beta distribution.
Beta prime distribution.
Binomial distribution.
Bradford distribution.
Cauchy distribution.
Chi distribution.
Chi-squared distribution.
Raised cosine distribution.
Degenerate distribution.
Discrete uniform distribution.
Erlang distribution.
Exponential distribution.
Fisher's F distribution.
Fréchet distribution.
Gamma distribution.
Geometric distribution.
Gumbel distribution.
Hypergeometric distribution.
Inverse gamma distribution.
Kumaraswamy's double bounded distribution.
Laplace distribution.
Lévy distribution.
Logistic distribution.
Lognormal distribution.
Negative binomial distribution.
Normal distribution.
Pareto (Type I) distribution.
Planck distribution.
Poisson distribution.
Rayleigh distribution.
Distribution of Wilcoxon signed rank test statistic.
Studentized range distribution.
Student's t distribution.
Triangular distribution.
Truncated normal distribution.
Uniform distribution.
Weibull distribution.
Define a read-only property.
Generate a linearly spaced numeric array.
Create a filled array according to a provided callback function.
Float64Array.
Int32Array.
Test if an object has a specified property.
Test if two arguments are approximately the same value within a specified number of ULPs (units in the last place).
Test if a value is a function.
Test if a value is a number having an integer value.
Test if a value is NaN.
Test if a value is a number having a nonnegative integer value.
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