Chi distributed pseudorandom numbers.
JavaScript
1
0
Apache License 2.0
This project provides functions for generating pseudorandom numbers that follow a chi distribution, a continuous probability distribution commonly used in statistics. It is part of the stdlib JavaScript library, which is designed for numerical and scientific computing. The package is intended for developers who need to work with statistical distributions in their applications, offering a reliable and well-tested implementation.
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Support the dependencies of stdlib-js/random-base-chi
Return a JSON representation of a typed array.
Test if an object has a specified property.
Test if a value is a function.
Test if a value is a plain object.
Test if a value is a number having a positive value.
Test if a double-precision floating-point numeric value is NaN.
Compute the principal square root of a double-precision floating-point number.
Chi-square distributed pseudorandom numbers.
Insert supplied variable values into a format string.
stdlib TypeScript type declarations.
Constant function.
Define a non-enumerable read-only accessor.
Define a non-enumerable read-only property.
Define a non-enumerable read-write accessor.
Function which does nothing.
Format an error message for production.
Create a zero-filled generic array.
Uint32Array.
Test if a value is a Uint32Array.
Maximum unsigned 32-bit integer.
Round a double-precision floating-point number toward positive infinity.
Object containing the user environment.
A linear congruential pseudorandom number generator (LCG) based on Park and Miller.
A linear congruential pseudorandom number generator (LCG) whose output is shuffled.
Uniformly distributed pseudorandom numbers between 0 and 1.
One-sample Kolmogorov-Smirnov goodness-of-fit test.
Time in seconds since the epoch.
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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stdlib-bot
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