Create an array containing pseudorandom numbers drawn from a Gumbel distribution.
JavaScript
1
0
Apache License 2.0
This project provides functions for creating arrays of pseudorandom numbers drawn from a Gumbel distribution, which is commonly used in statistical modeling and extreme value theory. It's designed for developers working on scientific computing, statistical analysis, or simulation tasks who need reliable, well-tested random number generation capabilities in JavaScript.
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Support the dependencies of stdlib-js/random-array-gumbel
Default array settings.
List of array data types.
Create a factory function for generating pseudorandom values drawn from a binary PRNG.
Gumbel distributed pseudorandom numbers.
stdlib TypeScript type declarations.
Define a non-enumerable read-only property.
Float32Array.
Float64Array.
Create an array filled with NaNs and having a specified length.
Uint32Array.
Create a zero-filled array having a specified length.
Test if a value is a Uint32Array.
Insert array element values into a format string and print the result.
Maximum unsigned 32-bit integer.
Test if a double-precision floating-point numeric value is NaN.
Test if a single-precision floating-point numeric value is NaN.
Exponential function.
A linear congruential pseudorandom number generator (LCG) based on Park and Miller.
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-array-gumbel
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