One-sample Kolmogorov-Smirnov goodness-of-fit test.
JavaScript
4
0
Apache License 2.0
This package provides a one-sample Kolmogorov-Smirnov goodness-of-fit test for JavaScript, allowing users to determine if a dataset comes from a specified probability distribution. It is part of stdlib, a standard library for numerical and scientific computing in JavaScript, and is designed for developers working with statistical analysis and hypothesis testing in web or Node.js environments.
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Support the dependencies of stdlib-js/stats-kstest
Float64Array.
Test if an object has a specified property.
Test if a value is a boolean.
Test if a value is a function.
Test if a value is NaN.
Test if a value is a number.
Test if a value is an array-like object of numbers.
Test if a value is a plain object.
Test if a value is a number having a positive integer value.
Test if a value is a string.
Test if a value is typed-array-like.
Compute the natural logarithm of the binomial coefficient.
Natural exponential function.
Round a double-precision floating-point number toward negative infinity.
Evaluate the natural logarithm of a double-precision floating-point number.
Exponential function.
Round a double-precision floating-point number to the nearest multiple of 10^n.
Compute the principal square root of a double-precision floating-point number.
Arcsine distribution cumulative distribution function (CDF).
Beta distribution cumulative distribution function (CDF).
Beta prime distribution cumulative distribution function (CDF).
Cauchy distribution cumulative distribution function (CDF).
Chi distribution cumulative distribution function (CDF).
Chi-squared distribution cumulative distribution function (CDF).
Raised cosine distribution cumulative distribution function (CDF).
Erlang distribution cumulative distribution function (CDF).
Exponential distribution cumulative distribution function (CDF).
F distribution cumulative distribution function (CDF).
Fréchet distribution cumulative distribution function (CDF).
Gamma distribution cumulative distribution function (CDF).
Gumbel distribution cumulative distribution function (CDF).
Inverse gamma distribution cumulative distribution function (CDF).
Kumaraswamy's double bounded distribution cumulative distribution function (CDF).
Laplace distribution cumulative distribution function (CDF).
Lévy distribution cumulative distribution function (CDF).
Logistic distribution cumulative distribution function (CDF).
Lognormal distribution cumulative distribution function (CDF).
Normal distribution cumulative distribution function (CDF).
Pareto (Type I) distribution cumulative distribution function (CDF).
Rayleigh distribution cumulative distribution function (CDF).
Student's t distribution cumulative distribution function (CDF).
Triangular distribution cumulative distribution function (CDF).
Uniform distribution cumulative distribution function (CDF).
Weibull distribution cumulative distribution function (CDF).
Calculate the maximum value of a strided array.
Insert supplied variable values into a format string.
stdlib TypeScript type declarations.
Define a read-only property.
Format an error message for production.
Create a zero-filled generic array.
Support the repos that depend on stdlib-js/stats-kstest
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