Discrete uniform distributed pseudorandom numbers.
JavaScript
2
0
Apache License 2.0
This project is a JavaScript library that generates pseudorandom numbers drawn from a discrete uniform distribution, which means each integer between a specified minimum and maximum has an equal probability of being selected. It's part of the stdlib standard library for numerical and scientific computing in JavaScript, and is intended for developers who need statistically sound random number generation in their applications, particularly those working in scientific computing, simulations, or statistical analysis.
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Support the dependencies of stdlib-js/random-base-discrete-uniform
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 number having an integer value.
Test if a value is NaN.
Test if a value is a plain object.
Maximum safe double-precision floating-point integer.
Test if a finite double-precision floating-point number is an integer.
Test if a double-precision floating-point numeric value is NaN.
Round a double-precision floating-point number toward negative infinity.
A 32-bit Mersenne Twister pseudorandom number generator.
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 numeric value to the nearest integer.
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.
Perform a chi-square goodness-of-fit test.
Time in seconds since the epoch.
Proxies nodejs require in order to allow overriding dependencies during testing.
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.
Support the repos that depend on stdlib-js/random-base-discrete-uniform
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