Normal distribution constructor.
JavaScript
1
0
Apache License 2.0
This project provides a constructor for creating normal distribution objects in JavaScript. It's designed for developers working on statistical or scientific computing applications who need to model and work with normal distributions. The library is part of stdlib, a comprehensive JavaScript standard library focused on numerical and scientific computing.
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Support the dependencies of stdlib-js/stats-base-dists-normal-ctor
Test if a value is NaN.
Test if a value is a number.
Test if a value is a number having a positive value.
Normal distribution cumulative distribution function (CDF).
Normal distribution differential entropy.
Normal distribution excess kurtosis.
Natural logarithm of the cumulative distribution function (CDF) for a normal distribution.
Natural logarithm of the probability density function (PDF) for a normal distribution.
Normal distribution expected value.
Normal distribution median.
Normal distribution moment-generating function (MGF).
Normal distribution mode.
Normal distribution probability density function (PDF).
Normal distribution quantile function.
Normal distribution skewness.
Normal distribution standard deviation.
Normal distribution variance.
Insert supplied variable values into a format string.
Define a non-enumerable read-only accessor.
Define a non-enumerable read-only property.
Define (or modify) an object property.
Format an error message for production.
Test if an object has a specified property.
Test if a value is a function.
Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.
Test if a double-precision floating-point numeric value is NaN.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
tap-producing test harness for node and browsers
Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use cases including unit tests, server side functional tests and browser tests. Built for scale
Minimal TAP output formatter.
Benchmark harness.
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